We are now ISO/IEC 27001:2022 certified. Read PR here.
Ignitarium is Great Place to Work® – Certified. Read PR here.
Ignitarium is Great Place to Work® – Certified. Read PR here.

info@ignitarium.com

Japanese
Sound Event Classifier Blog
The term Sound Event Classification (SEC), also called Acoustic Event Classification or Audio Event Classification, is the process of acquiring audio signals from an audio source, analysing the acquired signals to detect events that...
  • Radhakrishnan V and Vinay Kulkarni
  • August 4, 2021

Building an AI-based Sound Event Classifier

Introduction

The term Sound Event Classification (SEC), also called Acoustic Event Classification or Audio Event Classification, is the process of acquiring audio signals from an audio source, analysing the acquired signals to detect events that we are interested in and if an event is detected, categorizing the event, which will be used to trigger actions by the downstream components or referred to consumers for further analysis and actions. As an example, law enforcement agencies can use the sound inputs from microphones attached to street cameras. An SEC system connected to the microphone feed can detect  gunshots or human shrieks and can alert the authorities of an event of concern.

Sound Event Classification is increasingly gaining prominence in real-world applications. These applications span the domains of security, surveillance, medical / industrial diagnostics and many consumer devices. Technologies that revolutionised parallel processing using many compute cores (GPU/TPU) have catapulted the precision with which we can now detect occurrences of events using their acoustic profiles. Sub-systems of such nature tend to be a differentiator even in mainstream system designs that can detect, classify and react to events of impact.

Broadly, there are two different approaches to detection of events from audio signals. The first is a signal processing based method, which usually looks for a ‘template’ in the signal. The event is considered to have occurred if the input closely mimics the template. The second approach uses artificial intelligence as the engine to detect events from audio signals. Classical approach to Audio Event Classification relied on use of Machine Learning algorithms like HMMs (Hidden Markov Model) or modified versions of HMMs. However, their application and accuracy usually did not inspire confidence wrt reliability or effectiveness. With the onset of the deep learning era, the accuracy and efficacy of such systems saw considerable improvement, just by replacing the classical AI models with artificial neural networks (ANN). We observe that there is an increased adoption of ANN-based models. The remainder of this blog will focus on the design / architecture considerations of an AI-based solution which uses an ANN at the core of the event classifier.

Sound Event Classifier Design

An SEC application will have five stages –

1. Signal acquisition

2. Preprocessing

3. Feature Extraction

4. Classification

5. Post processing (optional)

Fig A : Five stages of an SEC solution design

1. Signal acquisition – This is the stage when the audio stream enters the system. Based on the operating environment, a microphone has to be chosen with considerations involving directionality, frequency response, impedance and noise resilience. Wrong choice of microphone could affect the overall efficiency of the system. For example: if we choose a microphone with studio characteristics to be placed in outdoor systems, the wind noise could overwhelm the system, thereby rendering the downstream stages to be less effective. Another important design consideration would be the rate at which the analog audio signal is sampled.

Fig B : Analog representation of first 250 ms of gunshot

Fig C : Sampled representation of the analog signal in Fig B

Sampling rate or sampling frequency defines the number of samples per second (or per other unit) taken from a continuous signal to make a discrete or digital signal. Nyquist rule mandates the required sampling rate of a signal to be twice the largest frequency component of the signal, if we have to reconstruct the original audio from the samples. For example, the human ear can perceive audio signals in the frequency of 300 Hz to 20,000 Hz. By Nyquist rule, we will need to sample a signal at minimum rate (frequency) twice the highest frequency, i.e. at 40,000 Hz to attain theoretically perfect reproduction. A lower rate of sampling could cause an aliasing effect (incorrect representation of the original audio). Also, the sound event has to be studied closely before making a sampling rate decision. Pushing the sampling rate higher will not yield any improvement, instead it will add unnecessary processing overhead. Sampled audio signal is represented using numbers (quantized) and represented in binary format (encoded). Pulse Code Modulation (PCM) is a popular technique for quantizing and storing digital representation of audio signals as .wav files. 

2. Preprocessing – Preprocessing of the audio signals is an important signal preparatory step. A few techniques used to prepare the signal for feature extraction are-

A. Filtering – This may involve passing the signal through one or more filters to ensure that the features we extract can be used by the classifier to classify the event. The acquired signal could have frequencies in all ranges. Often, the sound events that we are interested in could be in a short range compared to the spectrum supported by the microphone.

A beneficial side effect of filtering is noise reduction / removal. A study of the frequency range of the event often preludes the design of filters. The figure below is the frequency plot of the gunshot as represented in Fig B.

Frequency Analysis

A software / hardware filter is implemented after careful consideration of the cost, efficiency and latency requirement of the system. 

B. Activation / Trigger – In certain designs, a preprocessing phase may also include an activation mechanism for downstream stages. For example, a period of silence in an audio stream need not be passed through feature extraction or classification stages. This could help in reduction of processing cycles and hence, power consumption.In essence, a well designed preprocessing component helps to reduce the complexity of the system, remove or reduce the impact of ambient noise, lower resource consumption and cost.

3. Feature extraction – A machine learning / neural net classifier is ‘trained’ (exposed to) characteristics of an object or event to ‘predict’ the class it belongs to. This stage deals with techniques employed to extract these characteristics (‘features’). An audio signal can be characterised by its amplitude (loudness), frequency (pitch) and timbre (quality). Theoretically, each of these can be used as a feature, in practice, they are not used independently to classify any event. There are various techniques to extract signatures of the event. Short Term Fourier Transform (STFT), Mel Frequency Cepstral Coefficient (MFCC), LPC (Linear Predictive Code) are a few techniques commonly used to extract features from an audio signal. There are derivatives of these techniques that can improve the classification accuracy. Often, this is a stage which demands a relatively higher level of computation power. Hence, depending on the application and the associated constraints imposed by the environment or specifications, the designers may have to weigh on power consumption needs at this stage.

4. Classifier – A classifier can be a classical machine learning model (HMM) or a deep learning model (Artificial Neural Networks – ANN). An artificial neural network mimics the functioning of the human brain (a detailed explanation of concepts is beyond the scope of this blog. Readers are encouraged to refer to more articles available online / offline to gain deeper understanding of ANNs). Frameworks like Tensorflow, Keras and Pytorch are available in popular programming languages like Python/R or packages like Matlab. These frameworks enable us to define such networks, teach the network (referred to as ‘training’) with a set of samples, so it learns the patterns and eventually check the prediction accuracy ( referred to as ‘testing’ ) by passing some samples. 

With the GPU revolution, a deep learning model based classifier is the norm rather than an exception. The network architecture will be heavily influenced by the constraints imposed by the availability of data to train the model, the operating environment, hardware / platform specification and the performance specifications. ANNs provide flexibility to system designers in determining the memory footprint, computational power and latency, thus enabling designs for tiny devices (IoT) to massively parallel systems that have been made affordable by Compute Cloud vendors.  Compared to classical machine learning models, deep learning models need lots of samples to effectively learn the patterns. But, properly trained neural networks can enable prediction accuracy of more than 90%. Usually the neural architecture will be a series of convolutional layers followed by one or more dense layers.

Sample collection for training the model has to be given due importance. Though the deep learning models have an inherent strength to tolerate noise, the training samples should be selected carefully from the operating environment with all possible input combinations that we will expect the model to discern and classify. If there are not enough original data samples, synthesized data has to be introduced as training samples so that the network can learn different representations. This is referred to as data augmentation. To illustrate the utility of data augmentation, consider a gunshot sample acquired from an indoor shooting range. If we have to use this in a system to detect street events, this sample has to be mixed with ambient noise from the street. A firework display could cause a gunshot detection system to trigger a false alarm. Such events could lead to a false positive and the model has to be trained with such audio samples of confusing sound events to be immune to such events.

5. Post processing – This is an optional block in sound event classification and depends on use cases for an SEC. The follow-up action when an event is detected can be initiated in the post process stage. An audio signal is a continuous waveform in real life and digitisation changes its nature to a discrete sample representing a short time. If the system is designed to trigger actions when an event is detected, it is possible that the same event may be detected in adjacent samples, which is unintended. Continuing with the example of gunshot detection, it is possible that the same gunshot is detected in two audio frames and the application sends out two distinct alerts to the agencies. This has to be avoided. Post processing step should take care of such inadvertent consequences. 

Other considerations: Compared to vision based applications, audio-based systems may be less intrusive and at lower (relatively) risk of violating privacy laws of the land. Nevertheless, the system designers have to factor in these considerations while deciding on the positioning of microphones and storing, using or distributing the information captured from these systems. Keeping an audit trail, or even better, including the necessary controls may help the organisation operating such systems to comply with laws and regulations. Accommodating these factors in the design, could save the vendor and customer organizations some effort.

The Ignitarium Advantage: At Ignitarium, we have developed AI-based audio event classifiers and voice command engines under the brand SeptraTM, targeting multiple operating environments. These solutions are designed to be deployable in a wide array of architectures ranging from embedded to Cloud based platforms, making it suitable for standalone deployment or in IoT environments. Ignitarium is a preferred ecosystem partner to top embedded system manufacturers with deep expertise in building solutions deployed on embedded platforms.

 

229 thoughts on “Building an AI-based Sound Event Classifier”

  1. установка видеонаблюдения на складе

    Установка видеокамер обеспечит защиту помещения круглосуточно.
    Инновационные решения гарантируют высокое качество изображения даже при слабом освещении.
    Вы можете заказать широкий выбор устройств, адаптированных для офиса.
    установка камер видеонаблюдения частном
    Профессиональная установка и консультации специалистов обеспечивают простым и надежным для каждого клиента.
    Свяжитесь с нами, и узнать о оптимальное предложение в сфере безопасности.

  2. PedroRem

    Наш сервис поможет получить информацию о любом человеке .
    Достаточно ввести никнейм в соцсетях, чтобы получить сведения .
    Система анализирует открытые источники и цифровые следы.
    глаз бога телефон
    Информация обновляется мгновенно с фильтрацией мусора.
    Идеально подходит для анализа профилей перед важными решениями.
    Конфиденциальность и точность данных — наш приоритет .

  3. Josephpoomb

    Ответственная игра — это принципы, направленный на предотвращение рисков, включая поддержку уязвимых групп.
    Платформы обязаны предлагать инструменты контроля, такие как лимиты на депозиты , чтобы избежать чрезмерного участия.
    Регулярная подготовка персонала помогает реагировать на сигналы тревоги, например, частые крупные ставки.
    сайт вавада
    Предоставляются ресурсы горячие линии , где можно получить помощь при проблемах с контролем .
    Следование нормам включает проверку возрастных данных для обеспечения прозрачности.
    Задача индустрии создать безопасную среду , где удовольствие сочетается с психологическим состоянием.

  4. Josephpoomb

    Ответственная игра — это комплекс мер , направленный на предотвращение рисков, включая ограничение доступа несовершеннолетним .
    Сервисы должны внедрять инструменты контроля, такие как временные блокировки, чтобы минимизировать зависимость .
    Обучение сотрудников помогает реагировать на сигналы тревоги, например, неожиданные изменения поведения .
    https://sacramentolife.ru
    Предоставляются ресурсы консультации экспертов, где обратиться за поддержкой при проблемах с контролем .
    Соблюдение стандартов включает проверку возрастных данных для предотвращения мошенничества .
    Ключевая цель — создать условия для ответственного досуга, где риск минимален с психологическим состоянием.

  5. lesbian videos

    Осознанное участие — это минимизирование рисков для участников, включая установление лимитов .
    Важно планировать бюджет , чтобы сохранять контроль над затратами.
    Используйте инструменты временной блокировки, чтобы ограничить доступ в случае потери контроля.
    Поддержка игроков включает горячие линии , где можно получить помощь при проявлениях зависимости .
    Участвуйте в компании, чтобы избегать изоляции, ведь семейная атмосфера делают процесс более контролируемым .
    авиатор играть
    Проверяйте условия платформы: сертификация оператора гарантирует защиту данных.

  6. Richardcatty

    При выборе компании для квартирного перевозки важно проверять её наличие страховки и репутацию на рынке.
    Изучите отзывы клиентов или рекомендации знакомых , чтобы оценить надёжность исполнителя.
    Уточните стоимость услуг, учитывая объём вещей, сезонность и дополнительные опции .
    https://kuplukvartiru.com.ua/forum-nerukhomosti/remont-stroytelstvo-dyzain/14765-hruzchyky-plius-usluhy-hruzchykov-v-kyeve-y-po-vsei-ukrayne#38217
    Убедитесь наличия гарантий сохранности имущества и запросите детали компенсации в случае повреждений.
    Оцените уровень сервиса: дружелюбие сотрудников , гибкость графика .
    Проверьте, есть ли специализированные автомобили и упаковочные материалы для безопасной транспортировки.

  15. ScottAverm

    vitamin c apotek [url=https://tryggmed.com/#]badetermometer baby apotek[/url] hundekrage apotek

  18. Duanesnusa

    Данный портал предлагает свежие новости со всего мира.
    Здесь можно найти аналитика, бизнесе и разнообразных темах.
    Контент пополняется почти без перерывов, что позволяет держать руку на пульсе.
    Минималистичный дизайн делает использование комфортным.
    https://myfashionacademy.ru
    Каждое сообщение предлагаются с фактчеком.
    Редакция придерживается честной подачи.
    Следите за обновлениями, чтобы быть всегда информированными.

  21. ScottAverm

    apotheek online nederland [url=https://zorgpakket.com/#]betrouwbare online apotheek zonder recept[/url] apotgeek

  27. ScottAverm

    medicijnlijst apotheek [url=https://zorgpakket.com/#]medicijnen bestellen bij apotheek[/url] online pharmacy netherlands

  31. ScottAverm

    te tre olje apotek [url=https://tryggmed.shop/#]apotek votter[/url] massasje olje apotek

  36. ScottAverm

    apot [url=https://snabbapoteket.shop/#]termometer apotek[/url] nagelsvamp engelska

  40. ScottAverm

    nässpray från 1 år [url=http://snabbapoteket.com/#]billiga mellanmål[/url] apotek linser

  45. Davidphara

    buy kamagra oral jelly mexico [url=https://medimexicorx.com/#]order kamagra from mexican pharmacy[/url] cheap mexican pharmacy

  55. Davidphara

    ExpressCareRx [url=https://expresscarerx.org/#]online pharmacy pain relief[/url] ExpressCareRx

  59. Davidphara

    hydroxyzine liquid pharmacy [url=https://expresscarerx.org/#]ExpressCareRx[/url] american pharmacy ambien

  64. Davidphara

    inderal online pharmacy [url=https://expresscarerx.online/#]rohypnol mexican pharmacy[/url] online pharmacy bupropion xl

  68. Davidphara

    top 10 pharmacies in india [url=https://indiamedshub.com/#]Online medicine home delivery[/url] IndiaMedsHub

  74. Davidphara

    family rx pharmacy [url=https://expresscarerx.org/#]ExpressCareRx[/url] ExpressCareRx

  77. Davidphara

    ExpressCareRx [url=http://expresscarerx.org/#]pharmacy coupons[/url] community rx pharmacy

  82. Davidphara

    trusted mexican pharmacy [url=https://medimexicorx.com/#]buy kamagra oral jelly mexico[/url] MediMexicoRx

  86. Burtondut

    cheap Accutane [url=http://isotretinoinfromcanada.com/#]isotretinoin online[/url] cheap Accutane

  91. Burtondut

    Propecia for hair loss online [url=http://finasteridefromcanada.com/#]buy cheap propecia[/url] cheap Propecia Canada

  97. Burtondut

    buy lexapro brand name online [url=https://lexapro.pro/#]lexapro online prescription[/url] Lexapro for depression online

  101. Burtondut

    generic Finasteride without prescription [url=http://finasteridefromcanada.com/#]buy cheap propecia pills[/url] cost cheap propecia without insurance

  105. Burtondut

    generic isotretinoin [url=https://isotretinoinfromcanada.com/#]cheap Accutane[/url] generic isotretinoin

  109. Burtondut

    Accutane for sale [url=https://isotretinoinfromcanada.shop/#]order isotretinoin from Canada to US[/url] cheap Accutane

  114. Duanesnusa

    Этот сайт публикует важные новости со всего мира.
    Здесь вы легко найдёте события из жизни, бизнесе и многом другом.
    Информация обновляется почти без перерывов, что позволяет следить за происходящим.
    Удобная структура помогает быстро ориентироваться.
    https://fashionpromo.ru
    Каждая статья проходят проверку.
    Целью сайта является объективности.
    Следите за обновлениями, чтобы быть всегда информированными.

  115. Burtondut

    buy Cialis online cheap [url=http://tadalafilfromindia.com/#]buy Cialis online cheap[/url] tadalafil online no rx

  119. Burtondut

    isotretinoin online [url=http://isotretinoinfromcanada.com/#]Isotretinoin From Canada[/url] isotretinoin online

  124. Burtondut

    buy generic lexapro online [url=https://lexapro.pro/#]Lexapro for depression online[/url] generic lexapro canada pharmacy

  129. Burtondut

    sertraline online [url=https://zoloft.company/#]generic sertraline[/url] Zoloft online pharmacy USA

  134. Burtondut

    tadalafil online no rx [url=https://tadalafilfromindia.shop/#]tadalafil online united states[/url] buy Cialis online cheap

  137. Burtondut

    cheap Cialis Canada [url=https://tadalafilfromindia.com/#]purchase tadalafil online[/url] Tadalafil From India

  140. Burtondut

    generic sertraline [url=https://zoloft.company/#]Zoloft online pharmacy USA[/url] sertraline online

  143. Burtondut

    Propecia for hair loss online [url=https://finasteridefromcanada.shop/#]cheap Propecia Canada[/url] cheap Propecia Canada

  147. Burtondut

    Propecia for hair loss online [url=http://finasteridefromcanada.com/#]Finasteride From Canada[/url] cheap Propecia Canada

  158. JamesDeP

    Clomid Hub [url=https://clomidhubpharmacy.shop/#]how can i get cheap clomid price[/url] Clomid Hub

  162. JamesDeP

    ReliefMeds USA [url=https://reliefmedsusa.com/#]Relief Meds USA[/url] Relief Meds USA

  166. JamesDeP

    Relief Meds USA [url=https://reliefmedsusa.shop/#]ReliefMeds USA[/url] order corticosteroids without prescription

  170. JamesDeP

    affordable Modafinil for cognitive enhancement [url=https://wakemedsrx.com/#]smart drugs online US pharmacy[/url] WakeMedsRX

  174. JamesDeP

    ReliefMeds USA [url=https://reliefmedsusa.com/#]order corticosteroids without prescription[/url] order corticosteroids without prescription

  178. JamesDeP

    can you snort gabapentin 300 [url=https://neuroreliefrx.com/#]NeuroRelief Rx[/url] NeuroRelief Rx

  182. JamesDeP

    order amoxicillin without prescription [url=https://clearmedsdirect.com/#]low-cost antibiotics delivered in USA[/url] amoxicillin without a prescription

  186. JamesDeP

    WakeMedsRX [url=https://wakemedsrx.com/#]affordable Modafinil for cognitive enhancement[/url] buy Modafinil online USA

  191. JamesDeP

    order corticosteroids without prescription [url=https://reliefmedsusa.shop/#]ReliefMeds USA[/url] order corticosteroids without prescription

  195. JamesDeP

    gabapentin mg tablets [url=https://neuroreliefrx.shop/#]gabapentin feels like weed[/url] NeuroRelief Rx

  200. JamesDeP

    cheap clomid prices [url=https://clomidhubpharmacy.shop/#]Clomid Hub Pharmacy[/url] Clomid Hub Pharmacy

  204. JamesDeP

    buying clomid prices [url=https://clomidhubpharmacy.com/#]how to buy clomid price[/url] Clomid Hub Pharmacy

  207. JamesDeP

    Clomid Hub Pharmacy [url=https://clomidhubpharmacy.com/#]Clomid Hub Pharmacy[/url] Clomid Hub Pharmacy

  212. JamesLeark

    india online pharmacy [url=http://indigenixpharm.com/#]reputable indian online pharmacy[/url] IndiGenix Pharmacy

  216. JamesLeark

    IndiGenix Pharmacy [url=http://indigenixpharm.com/#]indian pharmacy[/url] п»їlegitimate online pharmacies india

  221. JamesLeark

    tadalafil mexico pharmacy [url=https://mexicarerxhub.shop/#]legit mexican pharmacy without prescription[/url] legit mexican pharmacy without prescription

  225. JamesLeark

    canada pharmacy world [url=http://canadrxnexus.com/#]CanadRx Nexus[/url] best canadian pharmacy to buy from

Leave a Comment

Your email address will not be published. Required fields are marked *

Stay informed

NEWS & VIEWS

Join our team

APPLY

Want to know more about us?

PRIVACY POLICY

©2025 Ignitarium Technology Solutions, All Rights Reserved

Newsletter

An ISO 9001:2015 certified company

Great Place to Work® Certified

Ignitarium Logo

We are a leading provider of Product Engineering Services, offering expertise in Semiconductor design, Multimedia & Imaging, Connectivity, Cloud & Enterprise solutions, and Machine Learning & Deep Neural Networks

  • An ISO 9001:2015 certified company
  • Great Place to Work® Certified

Semiconductor

Software

Ecosystem

Resources

Contact Us

info@ignitarium.com

Scroll to Top

Human Pose Detection & Classification

Some Buildings in a city

Features:

  • Suitable for real time detection on edge devices
  • Detects human pose / key points and recognizes movement / behavior
  • Light weight deep learning models with good accuracy and performance

Target Markets:

  • Patient Monitoring in Hospitals
  • Surveillance
  • Sports/Exercise Pose Estimation
  • Retail Analytics

OCR / Pattern Recognition

Some Buildings in a city

Use cases :

  • Analog dial reading
  • Digital meter reading
  • Label recognition
  • Document OCR

Highlights :

  • Configurable for text or pattern recognition
  • Simultaneous Analog and Digital Dial reading
  • Lightweight implementation

Behavior Monitoring

Some Buildings in a city

Use cases :

  • Fall Detection
  • Social Distancing

Highlights :

  • Can define region of interest to monitor
  • Multi-subject monitoring
  • Multi-camera monitoring
  • Alarm triggers

Attire & PPE Detection

Some Buildings in a city

Use cases :

  • PPE Checks
  • Disallowed attire checks

Use cases :

  • Non-intrusive adherence checks
  • Customizable attire checks
  • Post-deployment trainable

 

Request for Video





    Real Time Color Detection​

    Use cases :

    • Machine vision applications such as color sorter or food defect detection

    Highlights :

    • Color detection algorithm with real time performance
    • Detects as close to human vison as possible including color shade discrimination
    • GPGPU based algorithm on NVIDIA CUDA and Snapdragon Adreno GPU
    • Extremely low latency (a few 10s of milliseconds) for detection
    • Portable onto different hardware platforms

    Missing Artifact Detection

    Use cases :

    • Detection of missing components during various stages of manufacturing of industrial parts
    • Examples include : missing nuts and bolts, missing ridges, missing grooves on plastic and metal blocks

    Highlights :

    • Custom neural network and algorithms to achieve high accuracy and inference speed
    • Single-pass detection of many categories of missing artifacts
    • In-field trainable neural networks with dynamic addition of new artifact categories
    • Implementation using low cost cameras and not expensive machine-vision cameras
    • Learning via the use of minimal training sets
    • Options to implement the neural network on GPU or CPU based systems

    Real Time Manufacturing Line Inspection

    Use cases :

    • Detection of defects on the surface of manufactured goods (metal, plastic, glass, food, etc.)
    • Can be integrated into the overall automated QA infrastructure on an assembly line.

    Highlights :

    • Custom neural network and algorithms to achieve high accuracy and inference speed
    • Use of consumer or industrial grade cameras
    • Requires only a few hundred images during the training phase
    • Supports incremental training of the neural network with data augmentation
    • Allows implementation on low cost GPU or CPU based platforms

    Ground Based Infrastructure analytics

    Some Buildings in a city

    Use cases :

    • Rail tracks (public transport, mining, etc.)
    • Highways
    • Tunnels

    Highlights :

    • Analysis of video and images from 2D & 3D RGB camera sensors
    • Multi sensor support (X-ray, thermal, radar, etc.)
    • Detection of anomalies in peripheral areas of core infrastructure (Ex: vegetation or stones near rail tracks)

    Aerial Analytics

    Use cases :

    • Rail track defect detection
    • Tower defect detection: Structural analysis of Power
      transmission towers
    • infrastructure mapping

    Highlights :

    • Defect detection from a distance
    • Non-intrusive
    • Automatic video capture with perfectly centered ROI
    • No manual intervention is required by a pilot for
      camera positioning

    SANJAY JAYAKUMAR

    Co-founder & CEO

     

    Founder and Managing director of Ignitarium, Sanjay has been responsible for defining Ignitarium’s core values, which encompass the organisation’s approach towards clients, partners, and all internal stakeholders, and in establishing an innovation and value-driven organisational culture.

     

    Prior to founding Ignitarium in 2012, Sanjay spent the initial 22 years of his career with the VLSI and Systems Business unit at Wipro Technologies. In his formative years, Sanjay worked in diverse engineering roles in Electronic hardware design, ASIC design, and custom library development. Sanjay later handled a flagship – multi-million dollar, 600-engineer strong – Semiconductor & Embedded account owning complete Delivery and Business responsibility.

     

    Sanjay graduated in Electronics and Communication Engineering from College of Engineering, Trivandrum, and has a Postgraduate degree in Microelectronics from BITS Pilani.

     

    Request Free Demo



      RAMESH EMANI Board Member

      RAMESH EMANI

      Board Member

      Ramesh was the Founder and CEO of Insta Health Solutions, a software products company focused on providing complete hospital and clinic management solutions for hospitals and clinics in India, the Middle East, Southeast Asia, and Africa. He raised Series A funds from Inventus Capital and then subsequently sold the company to Practo Technologies, India. Post-sale, he held the role of SVP and Head of the Insta BU for 4 years. He has now retired from full-time employment and is working as a consultant and board member.

       

      Prior to Insta, Ramesh had a 25-year-long career at Wipro Technologies where he was the President of the $1B Telecom and Product Engineering Solutions business heading a team of 19,000 people with a truly global operations footprint. Among his other key roles at Wipro, he was a member of Wipro's Corporate Executive Council and was Chief Technology Officer.

       

      Ramesh is also an Independent Board Member of eMIDs Technologies, a $100M IT services company focused on the healthcare vertical with market presence in the US and India.

       

      Ramesh holds an M-Tech in Computer Science from IIT-Kanpur.

      ​Manoj Thandassery

      VP – Sales & Business Development

      Manoj Thandassery is responsible for the India business at Ignitarium. He has over 20 years of leadership and business experience in various industries including the IT and Product Engineering industry. He has held various responsibilities including Geo head at Sasken China, Portfolio head at Wipro USA, and India & APAC Director of Sales at Emeritus. He has led large multi-country teams of up to 350 employees. Manoj was also an entrepreneur and has successfully launched and scaled, via multiple VC-led investment rounds, an Edtech business in the K12 space that was subsequently sold to a global Edtech giant.
      An XLRI alumnus, Manoj divides his time between Pune and Bangalore.

       

      MALAVIKA GARIMELLA​

      General Manager - Marketing

      A professional with a 14-year track record in technology marketing, Malavika heads marketing in Ignitarium. Responsible for all branding, positioning and promotional initiatives in the company, she has collaborated with technical and business teams to further strengthen Ignitarium's positioning as a key E R&D services player in the ecosystem.

      Prior to Ignitarium, Malavika has worked in with multiple global tech startups and IT consulting companies as a marketing consultant. Earlier, she headed marketing for the Semiconductor & Systems BU at Wipro Technologies and worked at IBM in their application software division.

      Malavika completed her MBA in Marketing from SCMHRD, Pune, and holds a B.E. degree in Telecommunications from RVCE, Bengaluru.

       

      PRADEEP KUMAR LAKSHMANAN

      VP - Operations

      Pradeep comes with an overall experience of 26 years across IT services and Academia. In his previous role at Virtusa, he played the role of Delivery Leader for the Middle East geography. He has handled complex delivery projects including the transition of large engagements, account management, and setting up new delivery centers.

      Pradeep graduated in Industrial Engineering and Management, went on to secure an MBA from CUSAT, and cleared UGN Net in Management. He also had teaching stints at his alma mater, CUSAT, and other management institutes like DCSMAT. A certified P3O (Portfolio, Program & Project Management) from the Office of Government Commerce, UK, Pradeep has been recognized for key contributions in the Management domain, at his previous organizations, Wipro & Virtusa.

      In his role as the Head of Operations at Ignitarium, Pradeep leads and manages operational functions such as Resource Management, Procurement, Facilities, IT Infrastructure, and Program Management office.

       

      SONA MATHEW Director – Human Resources

      SONA MATHEW

      AVP – Human Resources

      Sona heads Human Resource functions - Employee Engagement, HR Operations and Learning & Development – at Ignitarium. Her expertise include deep and broad experience in strategic people initiatives, performance management, talent transformation, talent acquisition, people engagement & compliance in the Information Technology & Services industry.

       

      Prior to Ignitarium, Sona has had held diverse HR responsibilities at Litmus7, Cognizant and Wipro.

       

      Sona graduated in Commerce from St. Xaviers College and did her MBA in HR from PSG College of Technology.

       

      ASHWIN RAMACHANDRAN

      Vice President - Sales

      As VP of Sales, Ashwin is responsible for Ignitarium’s go-to-market strategy, business, client relationships, and customer success in the Americas. He brings in over a couple of decades of experience, mainly in the product engineering space with customers from a wide spectrum of industries, especially in the Hi-Tech/semiconductor and telecom verticals.

       

      Ashwin has worked with the likes of Wipro, GlobalLogic, and Mastek, wherein unconventional and creative business models were used to bring in non-linear revenue. He has strategically diversified, de-risked, and grown his portfolios during his sales career.

       

      Ashwin strongly believes in the customer-first approach and works to add value and enhance the experiences of our customers.

       

      AZIF SALY Director – Sales

      AZIF SALY

      Vice President – Sales & Business Development

      Azif is responsible for go-to-market strategy, business development and sales at Ignitarium. Azif has over 14 years of cross-functional experience in the semiconductor product & service spaces and has held senior positions in global client management, strategic account management and business development. An IIM-K alumnus, he has been associated with Wipro, Nokia and Sankalp in the past.

       

      Azif handled key accounts and sales process initiatives at Sankalp Semiconductors. Azif has pursued entrepreneurial interests in the past and was associated with multiple start-ups in various executive roles. His start-up was successful in raising seed funds from Nokia, India. During his tenure at Nokia, he played a key role in driving product evangelism and customer success functions for the multimedia division.

       

      At Wipro, he was involved in customer engagement with global customers in APAC and US.

       

      RAJU KUNNATH Vice President – Enterprise & Mobility

      RAJU KUNNATH

      Distinguished Engineer – Digital

      At Ignitarium, Raju's charter is to architect world class Digital solutions at the confluence of Edge, Cloud and Analytics. Raju has over 25 years of experience in the field of Telecom, Mobility and Cloud. Prior to Ignitarium, he worked at Nokia India Pvt. Ltd. and Sasken Communication Technologies in various leadership positions and was responsible for the delivery of various developer platforms and products.

       

      Raju graduated in Electronics Engineering from Model Engineering College, Cochin and has an Executive Post Graduate Program (EPGP) in Strategy and Finance from IIM Kozhikode.

       

      PRADEEP SUKUMARAN Vice President – Business Strategy & Marketing

      PRADEEP SUKUMARAN

      Senior Vice President - Software Engineering

      Pradeep heads the Software Engineering division, with a charter to build and grow a world-beating delivery team. He is responsible for all the software functions, which includes embedded & automotive software, multimedia, and AI & Digital services

      At Ignitarium, he was previously part of the sales and marketing team with a special focus on generating a sales pipeline for Vision Intelligence products and services, working with worldwide field sales & partner ecosystems in the U.S  Europe, and APAC.

      Prior to joining Ignitarium in 2017, Pradeep was Senior Solutions Architect at Open-Silicon, an ASIC design house. At Open-Silicon, where he spent a good five years, Pradeep was responsible for Front-end, FPGA, and embedded SW business development, marketing & technical sales and also drove the IoT R&D roadmap. Pradeep started his professional career in 2000 at Sasken, where he worked for 11 years, primarily as an embedded multimedia expert, and then went on to lead the Multimedia software IP team.

      Pradeep is a graduate in Electronics & Communication from RVCE, Bangalore.

       

      SUJEET SREENIVASAN Vice President – Embedded

      SUJEET SREENIVASAN

      Senior Vice President – Automotive Technology

       

      Sujeet is responsible for driving innovation in Automotive software, identifying Automotive technology trends and advancements, evaluating their potential impact, and development of solutions to meet the needs of our Automotive customers.

      At Ignitarium, he was previously responsible for the growth and P&L of the Embedded Business unit focusing on Multimedia, Automotive, and Platform software.

      Prior to joining Ignitarium in 2016, Sujeet has had a career spanning more than 16 years at Wipro. During this stint, he has played diverse roles from Solution Architect to Presales Lead covering various domains. His technical expertise lies in the areas of Telecom, Embedded Systems, Wireless, Networking, SoC modeling, and Automotive. He has been honored as a Distinguished Member of the Technical Staff at Wipro and has multiple patents granted in the areas of Networking and IoT Security.

      Sujeet holds a degree in Computer Science from Government Engineering College, Thrissur.

       

      RAJIN RAVIMONY Distinguished Engineer

      RAJIN RAVIMONY

      Distinguished Engineer

       

      At Ignitarium, Rajin plays the role of Distinguished Engineer for complex SoCs and systems. He's an expert in ARM-based designs having architected more than a dozen SoCs and played hands-on design roles in several tens more. His core areas of specialization include security and functional safety architecture (IEC61508 and ISO26262) of automotive systems, RTL implementation of math intensive signal processing blocks as well as design of video processing and related multimedia blocks.

       

      Prior to Ignitarium, Rajin worked at Wipro Technologies for 14 years where he held roles of architect and consultant for several VLSI designs in the automotive and consumer domains.

       

      Rajin holds an MS in Micro-electronics from BITS Pilani.

       

      SIBY ABRAHAM Executive Vice President, Strategy

      SIBY ABRAHAM

      Executive Vice President, Strategy

       

      As EVP, of Strategy at Ignitarium, Siby anchors multiple functions spanning investor community relations, business growth, technology initiatives as well and operational excellence.

       

      Siby has over 31 years of experience in the semiconductor industry. In his last role at Wipro Technologies, he headed the Semiconductor Industry Practice Group where he was responsible for business growth and engineering delivery for all of Wipro’s semiconductor customers. Prior to that, he held a vast array of crucial roles at Wipro including Chief Technologist & Vice President, CTO Office, Global Delivery Head for Product Engineering Services, Business Head of Semiconductor & Consumer Electronics, and Head of Unified Competency Framework. He was instrumental in growing Wipro’s semiconductor business to over $100 million within 5 years and turning around its Consumer Electronics business in less than 2 years. In addition, he was the Engineering Manager for Enthink Inc., a semiconductor IP-focused subsidiary of Wipro. Prior to that, Siby was the Technical Lead for several of the most prestigious system engineering projects executed by Wipro R&D.

       

      Siby has held a host of deeply impactful positions, which included representing Wipro in various World Economic Forum working groups on Industrial IOT and as a member of IEEE’s IOT Steering Committee.

       

      He completed his MTech. in Electrical Engineering (Information and Control) from IIT, Kanpur and his BTech. from NIT, Calicut

       

      SUDIP NANDY

      Board Member

       

      An accomplished leader with over 40 years of experience, Sudip has helped build and grow companies in India, the US and the UK.

      He has held the post of Independent Director and Board Member for several organizations like Redington Limited, Excelra, Artison Agrotech, GeBBS Healthcare Solutions, Liquid Hub Inc. and ResultsCX.

      Most recently, Sudip was a Senior Advisor at ChrysCapital, a private equity firm where he has also been the Managing Director and Operating Partner for IT for the past 5 years. During his tenure, he has been Executive Chairman of California-headquartered Infogain Corporation and the non-Exec Chair on the board of a pioneering electric-2-wheeler company Ampere Vehicles, which is now a brand of Greaves Cotton Ltd.

      Earlier on in his career, Sudip has been the CEO and then Chairman India for Aricent. Prior to that, he had spent 25+ years in Wipro where he has been the Head of US business, Engineering R&D Services, and later the Head of EU Operations.

      Sudip is an active investor in several interesting startups in India and overseas, which mostly use technology for the social good, encompassing hyperlocal, healthcare, rural development, farmer support and e2W ecosystem. He also spends time as a coach and mentor for several CEOs in this role.

       

      SUJEETH JOSEPH Chief Product Officer

      SUJEETH JOSEPH

      Chief Technology Officer

       

      As CTO, Sujeeth is responsible for defining the technology roadmap, driving IP & solution development, and transitioning these technology components into practically deployable product engineering use cases.

       

      With a career spanning over 30+ years, Sujeeth Joseph is a semiconductor industry veteran in the SoC, System and Product architecture space. At SanDisk India, he was Director of Architecture for the USD $2B Removable Products Group. Simultaneously, he also headed the SanDisk India Patenting function, the Retail Competitive Analysis Group and drove academic research programs with premier Indian academic Institutes. Prior to SanDisk, he was Chief Architect of the Semiconductor & Systems BU (SnS) of Wipro Technologies. Over a 19-year career at Wipro, he has played hands-on and leadership roles across all phases of the ASIC and System design flow.

       

      He graduated in Electronics Engineering from Bombay University in 1991.

       

      SUJITH MATHEW IYPE Co-founder & CTO

      SUJITH MATHEW IYPE

      Co-founder & COO

       

      As Ignitarium's Co-founder and COO, Sujith is responsible for driving the operational efficiency and streamlining process across the organization. He is also responsible for the growth and P&L of the Semiconductor Business Unit.

       

      Apart from establishing a compelling story in VLSI, Sujith was responsible for Ignitarium's foray into nascent technology areas like AI, ML, Computer Vision, and IoT, nurturing them in our R&D Lab - "The Crucible".

       

      Prior to founding Ignitarium, Sujith played the role of a VLSI architect at Wipro Technologies for 13 years. In true hands-on mode, he has built ASICs and FPGAs for the Multimedia, Telecommunication, and Healthcare domains and has provided technical leadership for many flagship projects executed by Wipro.

       

      Sujith graduated from NIT - Calicut in the year 2000 in Electronics and Communications Engineering and thereafter he has successfully completed a one-year executive program in Business Management from IIM Calcutta.

       

      RAMESH SHANMUGHAM Co-founder & COO

      RAMESH SHANMUGHAM

      Co-founder & CRO

      As Co-founder and Chief Revenue Officer of Ignitarium, Ramesh has been responsible for global business and marketing as well as building trusted customer relationships upholding the company's core values.

      Ramesh has over 25 years of experience in the Semiconductor Industry covering all aspects of IC design. Prior to Ignitarium, Ramesh was a key member of the senior management team of the semiconductor division at Wipro Technologies. Ramesh has played key roles in Semiconductor Delivery and Pre-sales at a global level.

      Ramesh graduated in Electronics Engineering from Model Engineering College, Cochin, and has a Postgraduate degree in Microelectronics from BITS Pilani.