Motion Gestures, a company which specializes in AI software for hand tracking and gesture recognition use cases with 3rd party cameras, secures $2million in pre-A round funding.
Keiretsu Forum, Propel*, and GTAN participated in the round, which was led by CCAA. With this most recent funding, the business has raised a total of $10 million since its founding, including USD 4.5 million in grants from the Canadian government for AI-based computer vision research.
The money will be used by the business to grow both its operations and growth initiatives.
Motion Gestures, led by CEO Mr. Kashif Kahn, uses AI/ML advancements to provide camera-based hand tracking and gesture detection technologies.
Any kind of camera (such as RGB, NIR, or Depth), any resolution (including extremely low resolutions like 32×32 pixels), and any orientation (such as front-facing or ego-centric) can be used with the software. Hand tracking gives real-time positional coordinates for each hand in camera view by using a skeleton with 21 joints.
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Recognised motions include dynamic gestures at low frame rates (20 fps, for example). Additionally, custom gestures can be created without the usual needs for gathering training data. The number of tracked hands can scale with processing capabilities, and the software can be implemented on standard CPUs.
The company is presently working on complex contactless user interface solutions with over 150 OEMs across numerous industry verticals globally.
About Motion Gestures
Motion Gestures was established in Waterloo, Canada, in 2017 with the goal of utilising AI/ML advancements to challenge camera-based hand tracking and gesture detection technologies. The company’s ground-breaking software may be used for advanced touchless interface with any camera, in any position, on any platform, and in any industry. It represents a substantial advancement above conventional methods.
