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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AI-Generated Summary
- UC Santa Cruz students and alumni built a prototype device called Raven that clips onto a GoPro camera and automatically tracks a selected target using computer vision.
- The system uses an NVIDIA Jetson TX1 and machine learning to actively recognize the tracked object as it moves and changes position.
- Enes Mentese, cofounder of Raven, said the project was complex in both hardware and software development because the computationally intensive system needed to stay small and compact.
Next Steps
- Read the UC Santa Cruz news article for additional details on the prototype.
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