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The need for Automatic Speech Command Recognition (ASCR / ASR) on IoT devices is gaining traction because of the increased interest in non-touch-based applications. This article introduces a new lightweight convolutional neural network (CNN) for ASR on microcontrollers.
Cars running on a road along with numbers highlighted
Automatic Number Plate Recognition (ANPR), also called Automatic License Plate Recognition (ALPR), refers to an accurate image processing system used for detecting and reading vehicle number plates. It uses an Optical Character Recognition (OCR) component on images of number plates that are captured at high speed, to detect individual characters on the number plate and …

Vision AI powered Automatic Number Plate Recognition (ANPR) for Japan Read More »

Two roads connected by a bridge
Roads and water canals have historically been opening up channels of commerce in economies across the world and continue to do so even today. The socio-economic development of many countries has been linked to the development and maintenance of infrastructure.
Hundreds of Solar Panels in a field
Lean, green and renewable energy are some of the buzzwords of the last decade. Beyond the buzz, there’s the real grassroots level transformation that their adoption is bringing across our beautiful blue planet, critical to the survival of mankind as we know it.
AI based Real Time Noise Suppression
We’re thrilled to be featured on Arm’s new case study regarding #Ignitarium’s Noise Suppression IP for Arm Cortex-M processors. Ignitarium has come up with a deep learning-based real-time noise suppression software that can run on low-cost microcontrollers. To counter stationary and non-stationary noises, a traditional DSP approach is not sufficient. This requires certain hybrid models including a …

Case Study: Real-time Noise Suppression on Edge Devices Using a Practical AI-based Approach Read More »

Man rolling a tyre
Business photo created by freepik.com As the global manufacturing industry faces the pressures of bringing to market multiple variants of the highest quality products in the shortest possible time, a shift towards AI-driven automation across all functions has become inevitable. In quality inspection, AI-driven computer vision systems are already enabling the streamlining of the production …

Deep Learning based Computer Vision System for Automated Tyre Defect Detection Read More »

Despite the ubiquitous presence of voice assistants in our homes and workplaces, the technological intricacies of how automatic speech recognition works continue to amaze us.  One of the most crucial aspects that determines the accuracy of a good voice assistant is based on testing it in generalized real-world environments, which unfortunately is very difficult to …

Simulating Real World Audio for Voice Command Engine Read More »

Mixed-Signal Verification Challenges As the complexity of Mixed-signal designs increase, so does the need to have an exhaustive, structured, and scalable approach towards the verification of such designs. Digital Verification already has such a methodology (Universal Verification Methodology), which has proven to be very successful in taping out complex digital designs with high quality and …

System Verilog EEnet (SV-EEnet) application: Modeling block currents in Mixed Signal Verification Read More »

Robots and humens
The vision of Robots and Humans working together has been popularized by numerous Hollywood movies, comic books and the media for many decades now. Success stories about the application of automation in the manufacturing industry date back to the early 1980’s, when welding robots demonstrated efficiency and resilience to deliver on time and increased the overall …

The Role of Autonomous Mobile Robots in a Post-pandemic World Read More »

A container terminal
Deep Learning has provided a major boost to computer vision’s already rapidly expanding reach. A lot of new applications of computer vision technologies have been implemented with Deep Learning and are now becoming a part of our daily lives.
Tightening security by accelerating updates for security bugs and features has become one of the prime necessities of the connected world. The faster you roll out updates, the better these vulnerabilities can be plugged in. The intent is to create media frameworks which are extensible; partners can continue to extend media codecs and media format …

Android Codec 2.0: Developing Multimedia Applications for newer Android Platforms Read More »

A drone over railway track
Remember your first train ride? Depending on where in the world you grew up and when the memory differs. Mine is from the 1970s in India: a trip back to my ancestral home in Kerala. From the minute the engine blows its resoundingly loud whistle, there’s magic in the air...
A masked women sweeping the floor
As people around the world prepare to get back to work in the new normal, workplaces are leveraging cutting-edge tech-driven solutions to ensure safety standards for all. AI-driven computer vision systems are being deployed by companies to enforce and monitor social distancing, detecting violations of face masks and safety jackets on their premises. As governments …

AI-driven Face Mask and Attire Detection for the new normal Read More »

Internet Of Things (IoT) is arguably one of the most important technologies of this century. It is driving us to a rapidly digitized world. The hype around IoT has been around for some time, and a common phrase that one often hears was, “We will have 1 billion connected devices.” This was flying around during the 2013-2015 …

Secure OTA – Advanced Security for the IoT World Read More »

The benefits of Batch Normalization in training are well known for the reduction of internal covariate shift and hence optimizing the training to converge faster. This article tries to bring in a different perspective, where the quantization loss is recovered with the help of Batch Normalization layer, thus retaining the accuracy of the model. The article also gives a simplified implementation of Batch Normalization to reduce the load on edge devices which generally will have constraints on computation of neural network models.
A Train
Artificial Intelligence (AI) is not a new field; researchers have been working with AI since the 1950s. Today, AI is helping to make all modes of transportation safer and more efficient by identifying potential risks, tracking vehicles or monitoring traffic lights to improve safety. For decades, railways around the world have suffered from lack of …

AI-based Rail Corridor Monitoring Read More »

Industry 4.0
Since the Industrial Revolution, industries have been looking at key parameters like productivity, quality assurance and cost reduction and ways of improving them.  From production lines pioneered by Henry Ford in 1913 to just-in-time manufacturing techniques evolved at Japanese plants like Toyota to the state-of-the-art automated robotics-based production lines in Western Europe, industries have undergone …

How Traditional Industries are Embracing AI Technologies Read More »

Among all market segments addressed by the integrated circuit (IC) industry, Industrial is probably the most diverse with applications ranging from plant automation, power conversion (including conventional and alternative), remote monitoring, robotics, security, battery management, man machine interfaces (MMI), general sense & actuation etc. Add to this the natural adjacency to automotive and medical, and …

Industrial IC design: Functional Safety and Smart Embedded Processing Read More »