Introducing “SafeDistance analytics tool” (powered by EVLIB) our novel tool than can provide valuable insight into people movement and interaction habits and defines a new way to analyse social interaction spaces. … Read More
Bringing AI and Computer Vision at the edge
Bringing AI and Computer Vision at the edge
Leader in embedded computer vision and machine learning
Irida Labs is bringing AI and computer vision at the edge. By combining advanced deep learning methodologies with industry-leading expertise in computer vision and embedded software, we aim to train a camera or a system to perceive like a human eye and more.
Products
EV Lib is a complete embedded vision software library based on deep learning and AI with functionalities for people, vehicle and objects’ detection, identification tracking and 3D pose estimation. Learn more >>
A unique deep learning software tool for Industry 4.0 that solves complex applications like Defect Detection, Quality Inspection and Object/Pattern Classification. Learn more >>
Rock solid video stabilization software for mobile devices, action cameras or drones. Learn more >>
Partners and Customers
Trusted by world-class leaders in the fields of embedded systems, digital cameras, semiconductors, manufacturing and telecommunications, we have built an ecosystem capable to holistically support even the most challenging computer vision applications.
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Markets
Commercial security, smart analytics, soft demographics and safety in the GDPR era
Computer vision based awareness in very small devices, making everyday life easy
Efficient traffic monitoring, utility, space, and pedestrian management for the urban infrastructure
Edge AI machine vision industrial automations, driving the 4th industrial revolution
Product detection, tracking and vision aided inventory for accurate warehouse management
Latest News
Irida Labs at Embedded World 2020, 25-27 February // Nuremberg, Germany
We have been exhibiting our technologies at Embedded World 2020, the leading international fair for embedded systems. Thanks everyone for visiting and looking forward to Embedded World 2021! … Read More