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Greater Safety at Work:
Advanced Driver-Assistance System with Embedded Vision
The challenge: avoiding blind spots
Mining, construction sites or logistics: Heavy machinery and special vehicles often have huge blind spots that are difficult or impossible for the driver to see. At the same time, accidents involving people must be avoided at all costs. For this purpose, Retenua was looking for a solution to be mounted on vehicles.
The solution: Recognize high-vis vests
The result is emitrace®, the first advanced driver assistance system that recognizes people by means of reflective workwear. Due to embedded vision, it operates autonomously and is particularly compact and fail-safe. It can also be coupled directly with a vehicle control system.
emitrace from Retenua
The emitrace® driver assistance system from Retenua detects people in the blind spot and stops the vehicle directly if necessary.
NIR 3D people detection
with Embedded Vision
Developed in close cooperation between research and industry
Key Facts
Technology
Real time stereo vision
VC Vision Solution
VC-Z ARM Stereo Camera
Easy and fast development with the VC-Z embedded stereo camera
The board camera with two remote sensor boards is robust, easy to integrate and offers a Xilinx® Zynq® SoC with a powerful dual-core ARM® processor that performs all image data processing. A flash trigger and a 1 Gbit Ethernet interface provide optimal connectivity.
The Linux operating system and VC software libraries further reduced the development effort: "This is an enormous advantage for us because we could start developing applications immediately," says Rafael Mosberger.
About Retenua AB
Retenua AB is a product development and tech consulting company from Örebro, Sweden. With a strong technological background in sensors, computer vision, machine learn-ing, AI and robotics, Retenua is striving to-wards the most efficient technology transfer from state-of-the-art research to real-world industrial machine vision and robotics ap-plications. Founded in 2015, as a result from a research project on person detec-tion with industrial vehicles, the company moved into a new building in 2019.
Advanced driver assistance system for per-son detection
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