Insights

Perspectives and Inspiration

Ignitarium is a Gold Sponsor at IESA AI Summit 2022

Ignitarium is a Gold Sponsor at IESA AI Summit 2022

Ignitarium is proud to be cosponsoring and participating at the IESA AI Summit 2022, being held on May 11 & 12, 2022. IESA AI Summit 2022 is a global virtual summit with an objective of sharing insights on how AI is driving the hardware and software ecosystem across industry verticals. With a global audience of 5K+ delegates from 100+ countries, the 2-day summit has a lineup of […]

3D Graphics Driver for Linux: DRM Implementation

3D Graphics Driver for Linux: DRM Implementation

YouTube undoubtedly is the leading video streaming platform, and with the advent of new technologies from sensor, semiconductors and broadcasting technologies, the quality of video keeps improving manyfold.

Use of Celery in Serverless systems for scaling AI workloads

Use of Celery in Serverless systems for scaling AI workloads

Modern SaaS deployments rely on Serverless computing, allowing software components to be scaled easily with very little management overhead. AI workload execution has also started relying heavily on this technology to allow training or serving of ML models for a variety of applications. During model serving, software components like AI models, preprocessing and postprocessing can […]

Use of Homography Matrix for image stitching

Use of Homography Matrix for image stitching

The input to image stitching is a pair of images which are treated as Train image and Query image. These two images will undergo a Registration process, which involves identifying features from the individual images. This process of image registration uses popular techniques like SIFT, ORB etc., which have been embedded in OpenCV libraries.

AI transforms driver safety and comfort: 4 things that will never be the same

AI transforms driver safety and comfort: 4 things that will never be the same

AI is increasingly becoming a part of our everyday lives, across different domains. Have you ever thought about the possibility of a custom driver and passenger experience based on your unique and personal needs? Will AI eliminate the need for us to drive altogether? Would it provide a convenient alternative to all our ‘on road woes’?

Automatic Analog Meter Reading using FPGA-accelerated digital image processing 

Automatic Analog Meter Reading using FPGA-accelerated digital image processing 

This article describes a complete embedded vision system that enables automatic measurement of analog meters. Specific use cases include analog meters installed at weigh bridges, gas plants…

Next-Gen AMRs for Smart Warehouses 

Next-Gen AMRs for Smart Warehouses 

Warehouse automation technology is evolving rapidly, and AMRs (Autonomous Mobile Robots) are taking the front row to build Smart Manufacturing facilities. Industry analysts project the market for warehouse automation technology will double in size from 2021 to 2026*.   More and more material handling tasks are being managed by robots as the industry is heavily investing […]

5 ways to enable safety for cobots  

5 ways to enable safety for cobots  

All industrial work on factory floors was previously done by humans, which was a good enough strategy at a time when the necessity could be met with human speed. However, because of the exponential increase in daily output, the industry’s demand for robots is at an all-time high. Specifically, cobots i.e., robots that work alongside humans to enhance […]

Hardware Accelerators in the World of Perception AI | Tech Talk

Hardware Accelerators in the World of Perception AI | Tech Talk

In his keynote at MLDS 2022, Pradeep Sukumaran, VP – AI & Cloud, looks at Perception AI as the compute workload, characterized by data from sensors like microprocessors, 2D cameras and 3D LiDAR in relation to the trends of hardware accelerators, and also explore the ends of the spectrum, i.e., low power and high performance, using 2 relevant real world use cases.

Fall Detection & Warning System using Geofencing for Rail Passenger Safety 

Fall Detection & Warning System using Geofencing for Rail Passenger Safety 

A fall detection system can be defined as an assistive mechanism whose main objective is to generate an alert when a fall event has occurred. There are many cases of train tragedies in which people fall from running trains or from railway platforms. Such an uncontrolled fall can result in critical injuries and can even […]

Visual SLAM: Possibilities, Challenges and the Future

Visual SLAM: Possibilities, Challenges and the Future

Simultaneous Localization and Mapping (SLAM) has always been a hot topic in robotics and related fields. Exceptionally reliable technologies and solutions have…

Ignitarium is a Gold Sponsor at Machine Learning Developers Summit 2022

Ignitarium is a Gold Sponsor at Machine Learning Developers Summit 2022

Ignitarium is proud to be a Gold Sponsor at the Machine Learning Developers Summit 2022, being held on January 19 – 20.  MLDS 2022, India’s biggest Machine Learning Developers focussed conference, hosted by the coveted Analytics India Magazine, is in its 4th year. MLDS brings together India’s leading Machine Learning innovators and practitioners to share their ideas and experience about […]

PowerBots in PowerArtist for Early-Power Analysis and Reduction: An Introduction

PowerBots in PowerArtist for Early-Power Analysis and Reduction: An Introduction

Early power analysis in System-on-chip (SoC) design is a hot topic today. The power budget of electronic devices is decreasing every day even though area and complexity are increasing. The situation is the same for wired and wireless devices. A wireless device cannot afford to have higher power simply because that will increase the battery consumption, whereas […]

MLOps – ML Production Revolution

MLOps – ML Production Revolution

This blog is to stress the importance of MLOps in the ML project lifecycle, assert the necessity of MLOps in the context of the entire Software industry, explain its relevance within the context of DevOps, and how the changing Software development environment and processes help the ascend towards the peak of the Digital Revolution.  MLOps […]

Ignitarium’s position as a key engineering service provider for Semiconductor, AI and Automotive domains is recognized by Zinnov Zones ratings 2021

Ignitarium’s position as a key engineering service provider for Semiconductor, AI and Automotive domains is recognized by Zinnov Zones ratings 2021

Ignitarium’s position as a provider of engineering R&D services to Semiconductor, AI and Automotive (focused on ADAS) domains has been strengthened by the Zinnov Zones 2021 ratings. The company has been featured in the Execution Zone for Semiconductors, as an Expansive and Emerging player in the AI Engineering Services category; and in the Breakout Zone […]

Network on Chip – an Overview

Network on Chip – an Overview

System-on-chip (SoC) designs solve challenging design problems in different application domains by integrating diverse domain expertise. The successful design of such complex single-chip applications requires expertise in several technology areas such as communication, multimedia, encryption, and analog and RF designs. These technologies are increasingly hard to find in a single design house. Hence, there is […]

Large-scale multi-label text classification

Large-scale multi-label text classification

In this example, we will build a multi-label text classifier to predict the subject areas of arXiv papers from their abstract bodies. This type of classifier can be useful for conference submission portals like OpenReview.

Zero-DCE for low-light image enhancement

Zero-DCE for low-light image enhancement

Zero-Reference Deep Curve Estimation or Zero-DCE formulates low-light image enhancement as the task of estimating an image-specific tonal curve with a deep neural network.

Point cloud segmentation with PointNet

Point cloud segmentation with PointNet

A “point cloud” is an important type of data structure for storing geometric shape data. Due to its irregular format, it’s often transformed into regular 3D voxel grids or collections of images before being used in deep learning applications, a step which makes the data unnecessarily large.

Enabling safety in workplaces with mobile robots using Virtual Fencing

Enabling safety in workplaces with mobile robots using Virtual Fencing

Robots have mastered every position imaginable in the post-pandemic world, from forklifts, trolley haulers, and industrial floor scrubbers in factories to delivery bots on the curb (you can read all about it in our blog- link here).  Human-robot interactions have increased dramatically in factory environments, posing a safety risk. It’s challenging to figure out which technology, solutions, and […]

Real-time Noise Suppression | Webinar Recording

Real-time Noise Suppression | Webinar Recording

In the 2nd part of the ‘Audio AI on Low Power Hardware’ webinar series, you will learn about Noise Suppression software that can run on low-cost microcontrollers.

1 2 3 4 5 6 7
Scroll to Top