Motion Gestures, a Waterloo, Canada-based company which specializes in AI software for hand tracking and gesture recognition use cases with 3rd party cameras, raised USD 2M in Pre-A funding.
The round was led by CCAA, with participation from Keiretsu Forum, Propel*, and GTAN. The latest financing brings total capital raised since startup launch to USD 10M, including USD 4.5M in Canadian Government grants for AI-based Computer Vision research.
The company intends to use the funds to expand operations and its development efforts.
Led by CEO Mr. Kashif Kahn, Motion Gestures offers camera-based hand tracking and gesture recognition technology by leveraging advances in AI/ML. The software supports any type of camera (e.g. RGB, NIR, Depth), of any resolution (including, ultra-low resolutions such as 32×32 pixels), and in any position (e.g. front-facing, ego-centric). Hand tracking utilizes a 21 joints-based skeleton for each hand in camera view and provides real-time positional coordinates. All types of gestures are recognized, including dynamic gestures at low camera speeds (e.g. 20 fps). Custom gestures can also be built without conventional training data collection requirements. The software is deployable on ordinary processors and number of tracked hands can scale with computational resources.
The company is currently engaged with more than 150 OEMs in dozens of industry verticals around the world regarding sophisticated contactless user interface applications.
FinSMEs