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OMNIVISION, Leopard Imaging Collaborate on AI Imaging Solutions

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Leopard Imaging, an embedded vision systems designer and manufacturer, and OMNIVISION, a developer of semiconductor solutions, will collaborate to launch AI camera solutions for autonomous machines supporting OMNIVISION’s OA8000 and OAX8000 camera video processors. Leopard Imaging provides total sensor plus image signal processor solutions using OMNIVISION’s OA8000 and OAX8000 application-specific integrated circuits.

Per the newly formed collaboration, the companies will integrate the OMNIVISION processors with image sensors into AI systems including autonomous driving, robotics, IoT, and drones. This collaboration includes hardware and software development, image tuning, and customization design and manufacturing services for clients.

OA8000 is an ultralow-power, AI-enabled video processor that supports OMNIVISION’s high-resolution RGB and RGB-IR sensors. The processor is capable of deep learning inferences on the edge. OMNIVISION’s OAX8000 is designed for the automotive industry. The processor features on-chip double data rate 3 synchronous dynamic random-access memory. The driver monitoring system (DMS) processor is integrated with a neural processor unit and image signal processor, which provides dedicated processing speeds of up to 1.1 trillion operations per second for eye-gaze and eye-tracking algorithms.

Leopard Imaging released a series of DMS cameras in 2021, which were implemented with technology from OMNIVISION. In 2018, OMNIVISION, Leopard Imaging, and Texas Instruments developed an HD automotive camera module reference design using OMNIVISION’s OX01B40 image sensor.


Vision-Spectra.com
May 2022
GLOSSARY
machine vision
Interpretation of an image of an object or scene through the use of optical noncontact sensing mechanisms for the purpose of obtaining information and/or controlling machines or processes.
embedded vision
The practical use of computer vision in embedded systems that analyze system surroundings through digital processing and intelligent algorithms. Computer vision uses these processes to interpret meaning from images and video, giving it the capability to interact with its host environment. Usually, embedded vision is not intended to perform like a general purpose computer. Rather, it is designed to perform specific tasks such as driver protection with driver assistance systems capable of...
machine visionimage sensorssensorsSensors & DetectorsOmniVisionLeopard ImagingpartnershipBusinessEmbedded Visionvideo processorASICsimage processorsAutomotive Driver Monitoring Systemneural processescamerasreference design automotive camera applicationsmemoryimage signal processor

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