After raising $25 million in funding, Beijing-based ZeroZero Robotics came out of stealth mode and launched their Hover Camera just days before the GMIC Beijing 2016 trade show, the ‘CES of China.’
Co-founder MQ Wang, a Stanford PhD alum focused on machine learning and natural language processing, was inspired to create the autonomous Hover Camera after watching a documentary about a man who walked 1600 miles solo across Australia.
Using a machine learning model trained on an NVIDIA Tesla K40 GPU, the camera automatically tracks your face to take photos and capture videos wherever you go.
“We wanted the user experience to be very natural — easy to use,” MQ told Mashable. “We wanted to make sure the learning curve for users is minimum. So there is no remote control or anything. There’s no calibration process.”
The final version of the product will be released this summer.
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AI-Generated Summary
- Beijing-based ZeroZero Robotics emerged from stealth mode after raising $25 million in funding and launched the Hover Camera days before the GMIC Beijing 2016 trade show.
- Co-founder MQ Wang, a Stanford PhD alum focused on machine learning and natural language processing, was inspired to create the autonomous camera after watching a documentary about a solo 1,600-mile walk across Australia.
- The Hover Camera uses a machine learning model trained on an NVIDIA Tesla K40 GPU to automatically track faces for photos and videos without a remote control or calibration process.
- The final version of the product was scheduled for release in summer 2016.
Next Step
- Read the ZDNet article for additional details on the launch.
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