05 March 2020 – Today iniVation announced the launch of the all-new DVXplorer Lite at the European Robotics Forum in Malaga. The DVXplorer Lite provides the high performance of iniVation’s award-winning, state-of-the-art neuromorphic vision technology, at a lower price point for education and research. It is fully compatible with DV, iniVation’s best-in-class, open-source software development […]
iniVation Launches All-new DVXplorer Lite Read More +
Liran Bar, Director of Product Marketing at Hailo, delivers a product demonstration at the January 2020 Consumer Electronics Show. Specifically, Bar demonstrates the high efficiency performance of the Hailo-8 across multi use cases and with the collaboration with Foxconn, Socionext and AAEON. The demos include: HD (1280 x 720) Object detection (MobileNet-SSD) @ 0.4W. Multi-stream
March 4, 2020 – Carrida Technologies presents its software engine for automatic license plate recognition (ALPR) at the ISC West exposition. The powerful OEM software library integrates plates from most countries in the world and covers a wide range of different applications from access control and fleet management to toll systems and red-light enforcement, as
Carrida Technologies at ISC West: Universal ALPR Solution Read More +
March 4, 2020 – At ISC West, Vision Components presents its extended range of high-end camera modules with a MIPI CSI-2 port. The German embedded vision expert has integrated a bigger variety of image sensors in industrial MIPI boards than any other manufacturer. The lineup of MIPI camera modules for repeatable automatic processing even includes
ISC West Expo: Embedded Vision Systems and Components Read More +
LETTER FROM THE EDITOR Dear Colleague, We are excited to announce David Patterson as our first keynote speaker at this year’s Embedded Vision Summit, taking place May 18-21 at the Santa Clara, California Convention Center. Patterson is a UC Berkeley professor of the graduate school, a Google distinguished engineer and the RISC-V Foundation Vice-Chair. He
Edge AI and Vision Insights: March 4, 2020 Edition Read More +
This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. Back in 2018, Intel launched the Intel® Distribution of OpenVINO™ toolkit. Since then, it’s been widely adopted by partners and developers to deploy AI-powered applications in various industries, from self-checkout kiosks to medical imaging to industrial robotics.
SAN JOSE, Calif.–(BUSINESS WIRE)–GrAI Matter Labs (GML) today unveiled a hardware development kit (HDK) for GrAI One, the world’s first AI processor optimized for ultra-low latency and low power processing at the edge. GML is making the GrAI One HDK available for companies seeking to gain an advantage in real-time, intelligent processing of edge sensor
GrAI Matter Labs Unveils GrAI One Hardware Development Kit at tinyML Summit, 2020 Read More +
This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. This post is the second in a series (Part 1) that addresses the challenges of training an accurate deep learning model using a large public dataset and deploying the model on the edge for real-time inference using NVIDIA
Building a Real-time Redaction App Using NVIDIA DeepStream, Part 2: Deployment Read More +
Develop and Deploy on Akida Deeply Learned Neural Networks in a standard TensorFlow/Keras Environment February 12, 2020–SAN FRANCISCO–(BUSINESS WIRE)– BrainChip Holdings Ltd. (ASX: BRN), a leading provider of ultra-low power, high-performance edge AI technology, today announced that access to its Akida™ Development Environment (ADE) no longer requires pre-approval, now allowing designers to freely develop systems
BrainChip’s Akida Development Environment Now Freely Available for Use Read More +
This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Some of the biggest challenges in deploying an AI-based application are the accuracy of the model and being able to extract insights in real time. There’s a trade-off between accuracy and inference throughput. Making the model more accurate
Building a Real-time Redaction App Using NVIDIA DeepStream, Part 1: Training Read More +
Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.
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