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$ 20 27 bn growth in Gesture Recognition Solution Market in Application Software

$ 929 71 million growth in Gesture Recognition Market For Consumer Electronic Devices in Technology Hardware, Storage & Peripherals

Today in funding: Eavor Technologies, Foko Retail, Motion Gestures, Arolytics, Mogile Technologies

Today in funding: Eavor Technologies, Foko Retail, Motion Gestures, Arolytics, Mogile Technologies Five Canadian tech startups, Eavor Technologies, Foko Retail, Motion Gestures, Arolytics, and Mogile Technologies, have recently secured financing to fuel their growth. Here’s the latest on who raised money, how much from whom, and what they plan to put the new funds toward. Eavor Technologies secures $50.7 million CAD in financing Calgary cleantech startup Eavor Technologies has secured $50.7 million CAD ($40 million USD) in funding as it looks to commercialize its geothermal power generation technology. Investors include bp Ventures, the venture arm of oil and gas company BP; Chevron Technology Ventures; Temasek; BDC Capital; Eversource; and Vickers Venture Partners.

Motion Gestures closes USD 2 million pre-series A financing led by Allen Miner, Forbes Midas List investor who helped build Oracle Japan and Salesforce Japan

Share this article Company s gesture software is key enabler of sophisticated contactless interaction in major industries. WATERLOO, ON, Feb. 16, 2021 /PRNewswire/ - Motion Gestures, a Canadian startup specializing in Artificial Intelligence-based hand tracking and gesture recognition software for 3 rd party cameras, announced today that it had closed USD 2 million pre-series A financing led by Mr. Allen Miner. Funds will be used to market and support company s breakthrough gesture software among OEMs in major developed economies, with special focus on Japan. Hand tracking using AI-based joints skeleton approach (CNW Group/Motion Gestures) Compared to conventional solutions, Motion Gestures AI platform reduces gesture software development time by 10x while increasing recognition accuracy to nearly 100%. It uses advanced AI algorithms and sophisticated joints skeleton-based approach to hand tracking. Software is hardware agnostic and can support any type of camera as well as any

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