OMNIVISION, Leopard Imaging Collaborate on AI Imaging Solutions

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.

There are 86 suppliers of Image Sensors in the Photonics Marketplace.

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Published: May 2022

Glossary

machine vision: Machine vision, also known as computer vision or computer sight, refers to the technology that enables machines, typically computers, to interpret and understand visual information from the world, much like the human visual system. It involves the development and application of algorithms and systems that allow machines to acquire, process, analyze, and make decisions based on visual data. Key aspects of machine vision include: Image acquisition: Machine vision systems use various...
embedded vision: Embedded vision refers to the integration of computer vision technologies into various embedded systems, devices, or machines. Computer vision involves teaching machines to interpret and understand visual information from the world, much like human vision. Embedded vision takes this concept and applies it to systems where the processing occurs locally within the device, as opposed to relying on external servers or cloud-based services. Key components of embedded vision systems include: ...
image signal processor: An image signal processor (ISP) is a hardware component or subsystem in digital imaging devices responsible for capturing, processing, and enhancing images from a camera sensor. The ISP performs various tasks to convert raw sensor data into a high-quality image suitable for display or further processing. These tasks typically include: Demosaicing: Converting the raw sensor data from a color filter array (such as Bayer filter) into a full-color image. Noise reduction: Filtering out...

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