The Role of Autonomous Mobile Robots in a Post-pandemic World
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 »
System Verilog EEnet (SV-EEnet) application: Modeling block currents in Mixed Signal Verification
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 …
Simulating Real World Audio for Voice Command Engine
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 »
Case Study: Real-time Noise Suppression on Edge Devices Using a Practical AI-based Approach
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 …
Solar panel defect detection using Vision Intelligence Systems
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.
A new lightweight CNN model for Automatic Speech Command Recognition on Microcontrollers
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.
AI-based Automatic Contour-following of Roads and Canals
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.
Deep Learning based Computer Vision System for Automated Tyre Defect Detection
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 »
Vision AI powered Automatic Number Plate Recognition (ANPR) for Japan
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 »
Automotive Hardware Functional Safety (FuSa) Features: ISO 26262
In all critical applications like aircrafts, medical equipment and automobiles, there is a requirement for the systems to be reliable and safe. These requirements are important since human lives are at stake, which have led to the development of safety standards in various industries. The basic idea behind functional safety is that the overall system …
Automotive Hardware Functional Safety (FuSa) Features: ISO 26262 Read More »
Categories
Recent Posts
Ignitarium is now part of the Arm AI Partner Program
AI-based Rail Corridor Monitoring
Ignitarium Launches Audio AI platform
Ignitarium featured as an Emerging Engineering R&D service provider in Zinnov Zones 2020
Secure OTA – Advanced Security for the IoT World
Aerial analytics: Laying the tracks of a new intelligence