AI-Powered Flying Camera to Replace Your Selfie Stick

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.


About Brad Nemire

Brad Nemire
Brad Nemire is on the Developer Marketing team and loves reading about all of the fascinating research being done by developers using NVIDIA GPUs. Reach out to Brad on Twitter @BradNemire and let him know how you’re using GPUs to accelerate your research. Brad graduated from San Diego State University and currently resides in San Jose, CA. Follow @BradNemire on Twitter
  • “Using a machine learning model trained on an NVIDIA Tesla K40 GPU”

    But in the video it says it’s a Snapdragon 801 from your rivals at Qualcomm.

    So what processor is it? Both?

    • Hi Derek – The QC chip is on-board the actual camera, but the developers used a Tesla K40 GPU on the backend to train their machine models to recognize objects (which takes a lot of computing power).

  • Michael Clarke

    I can see this being developed further and improving VR beyond its current capability. With a autonomous floating camera surely the next step must be continuous worlds in VR if projection can be incorporated.