AI-Powered Robotic Cameraman Tracks Moving Objects

A team of students and alumni from UC Santa Cruz developed a prototype device called Raven that clips onto a GoPro camera and automatically tracks a selected target with the help of computer vision.

Enes Mentese, cofounder of Raven, thought of the idea for the device after he filmed his snowboarding experience and majority of the video was of sky and the ground.

By using an NVIDIA Jetson TX1 and machine learning, the system actively “learns” to recognize the object being tracked as it moves and changes position.

“It’s very computationally intensive, but we wanted to keep the system small and compact, so it was a complex project in terms of both the hardware development and the software development,” Mentese said.

The team is gearing up to launch a Kickstarter campaign to raise funds so they can start to manufacture the device.

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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