The OpenCV created Hardware Partnership Program and Technical Advisory Commitee to advance the development of smart vision software and hardware. Through partnerships with industry, academic, and community leaders, we develop and promote the technology and tools that advance the beneficial uses of computer vision in society.
You can send in your queries at firstname.lastname@example.org.
Hardware Partnership Program
The goal of the program is to support the development of smart vision devices that are compatible with computer vision and machine learning algorithms.
The devices manufactured by the members of the Hardware Partnership Program will get integrated to the OpenCV validation infrastructure. The results of the hardware validation will be publicly available, and the devices that pass the OpenCV tests will be marked as OpenCV Ready.
OpenCV Ready hardware will be listed at OpenCV site and hardware store where it can be sold online. The members of the OpenCV global community, as well as the general public, will be able to purchase smart vision devices that work with these community-led technologies.
To help the members of the Program enable their hardware to fully support OpenCV, OpenCV core team will provide free or paid consulting services depending on the involvement in the integration process.
An additional validation step for the hardware would be the testing for OpenVisionCapsules compatibility.
To facilitate interoperability between smart vision devices, computer vision algorithms, and data consumers, a common interface must be developed to standardize communication between these components. To fit this need, OpenVisionCapsules is an open format and set of tools to facilitate the creation of portable algorithm “capsules” that can be easily distributed and deployed to compatible hardware and software.
OpenVisionCapsules is not a model format like Onnx, nor a runtime like OpenVINO. Instead, it is a packaging format for any kind of algorithm designed for smart vision devices. These capsules include all necessary code, files, and metadata required to describe an implement a computer vision or machine learning algorithm. Analysis results are provided in a standard format that may be consumed by the smart vision device or by other software clients.
OpenVisionCapsules provides a powerful system for describing the inputs and outputs of the capsule. This allows multiple capsules to interact with each other without prior configuration. This allows for sophisticated data to be extracted from video streams by combining many simple capsules, all without the need for an intimate understanding of the algorithms in use or the OpenVisionCapsules system itself.
Board Chair: Stephen Li
Stephen Li serves as the Chairman of the OpenCV Hardware Partnership Program. He is a Co-Founder and CEO at Dilili Labs, Inc. Stephen worked at Qualcomm as an engineering lead, from the world’s first Android device, and the world’s first Firefox device until there were billions of smartphones globally powered by Snapdragon chipsets. He worked as the Software Department Head at Magic Leap during the company’s Series B and Series C Funding of over $1.4B. Stephen served as the board of director or advisor for a few startups. He participated in industry-standard work, e.g. Mobile OS, W3C Geolocation working group, OpenCV Interoperable Hardware, etc.
Becoming a member of the Hardware Partnership Program allows an individual or company to become more involved.
Please send in your queries at email@example.com.
If you would like to contact us when we open the partnership to new members, please sign up using the link below:
OpenCV is a non-profit organization dedicated to advancing the beneficial uses of computer vision in society. OpenCV is the most popular CV software in the world! It started in 2000, and now runs everywhere: Linux, Windows, Mac, Android, iOS, etc. By 2020, there are 1500+ git clones per day, 2 million Python downloads a week, and 20+ million downloads from SourceForge.