2022 Vision Tank Start-Up Finalists Put Computer Vision, Sensor Innovation on Display

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SANTA CLARA, Calif., May 9, 2022 — Five finalists will compete in the 2022 Vision Tank Start-Up Competition, with the winner to be announced Wednesday, May 18, at the Embedded Vision Summit in Santa Clara, Calif. The Edge AI and Vision Alliance revealed the finalists, which will pitch their companies and products to judges in a live event for a chance to take home the Judges Award and the Audience Choice Award.

“We received numerous outstanding Vision Tank entrants this year! Our judging panel had the tough task of selecting finalists based on technical innovation, business plan, team, and business opportunity,” said Jeff Bier, founder of the Edge AI and Vision Alliance. “These five finalists really demonstrate the diversity of visual AI applications rapidly emerging across industries.”






The finalists:

Hummingbirds AI, Miami Beach, Fla. — Hummingbirds AI is an award-winning computer vision hub, creating privacy-first solutions for security and efficiency of enterprises, including GuacamoleID, a “FaceID for computers.” As a cloud-independent app, it’s an on-device authentication tool using video-based biometrics for authenticating workers or customers.

linedance, Richardson, Texas — linedanceAI Movality is a software solution for movement quality records for outpatient musculoskeletal providers who work with patients recovering from accidents or injuries. Movality transforms provider observations into explainable and actionable data-backed assessments to increase both practice and course-of-care retention through boosting patient understanding.

Oculi, Baltimore — Oculi is putting the “human eye” in AI. After decades of machine vision’s limited evolution, Oculi has charted the path to optimal machine vision starting with the OCULI SPU, the only software-defined vision sensor on a single chip that delivers actionable data with up to 30× improvement in the fundamental power-latency trade-off.

Qlairvoyance, San Jose, Calif. — Qlairvoyance is an AI platform for radar sensors that enables applications to take advantage of “x-ray visual intelligence”: sensing intelligence that is extracted beyond the field of view, privacy preserving, and agnostic to lighting conditions. Use cases include detection and tracking of people and concealed items.

Tempo Analytics, Ottawa, Ontario — Tempo Analytics provides business analytics solutions using state-of-the-art advancements in machine vision and machine learning. Tempo specializes in the fast-food industry, providing solutions for the accurate estimation of speed of service, identification of congestion areas, and behavioral analysis.

The finalists will be among 75 other companies exhibiting in the summit’s technology eExhibits. Finalist video pitches are available at

Published: May 2022
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...
computer vision
Computer vision enables computers to interpret and make decisions based on visual data, such as images and videos. It involves the development of algorithms, techniques, and systems that enable machines to gain an understanding of the visual world, similar to how humans perceive and interpret visual information. Key aspects and tasks within computer vision include: Image recognition: Identifying and categorizing objects, scenes, or patterns within images. This involves training...
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: ...
artificial intelligence
The ability of a machine to perform certain complex functions normally associated with human intelligence, such as judgment, pattern recognition, understanding, learning, planning, and problem solving.
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