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.
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...
Ignitarium is excited to announce the opening of its new office at Yokohama, Japan, strengthening its presence in the APAC market while it gears up for its fast-approaching 10th anniversary. This strategic expansion is a further step in Ignitarium’s journey as a key player in the...
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.
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...
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.
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.
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...
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...
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
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...
We are proud to be awarded the ISO 9001:2015 certification, an internationally recognized standard that ensures that our products and services meet the needs of our clients through an effective quality management system. We have developed and implemented our quality...
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...
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...
Ignitarium announced today the company’s position in the latest Zinnov Zones ratings for Engineering Research & Development Services in 2020. According to the annual report...
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 new perspective, where the quantization loss...
Civil infrastructure maintenance is a constant challenge across the globe. This multi-billion dollar market – covering upkeep of assets like rail tracks, roadways, canals, bridges, cellular towers, power transmission towers, and pipelines – has till recently relied on traditional methods that were...
We are proud to announce the launch of our new Audio AI platform, SeptraTM. The platform implements auditory deep learning algorithms to deliver ultra-optimized voice and sound analytics solutions on highly constrained edge devices. Cost-sensitive audio applications like off-line voice...
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...
The partnership allows Ignitarium to accelerate implementation of compact neural networks on Arm platforms, especially targeting Audio AI solutions on Arm Cortex-M class devices. Ignitarium, a global product engineering company with expertise in Video and Audio AI solutions, today...
Ignitarium has expanded its board of directors with the addition of Insta Health Founder and ex-Wipro veteran, Mr. Ramesh Emani. Ramesh was the Founder and CEO of Insta Health Solutions, a healthcare software company providing hospital and clinic management...
Ignitarium, a leading product engineering design house and provider of AI software and AVerMedia, a multinational company specializing in hardware for image capture and video transmission announce the rollout of a new class of aircraft-based railway track anomaly detection solutions,...
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...
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...
Artificial Intelligence has been assuming significance beyond academic debates in the past couple of years. Google and Facebook claims that they now have face recognition systems based on AI that can beat humans at the task.
IoT seems to have crossed its Hype Cycle peak somewhere in 2016 and is well heading into the Troughs of Despair. The ubiquitous IoT device still remains the mobile phone with people preferring to use more of the integrated sensors in mobiles rather than discrete sensors.