Smart Tripod

Oct 20, 2023

Smart Tripod

ECE 49022 Senior Design Project Source Code

Project Description

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Figure 1: Product Sketch

The Smart Tripod allows avid adventurers to capture convenient and perfectly centered photos when nobody is around to hold the camera for them. The product fits a standard tripod and, once turned on, will be able to track the movement of the individual while they take their time to find the perfect shot to capture the moment. A simple visual gesture will cue the Smart Tripod to take a photo and save it for future viewing. The device is also battery-powered, lightweight, and ready to use without configuration. The Smart Tripod is ready to use no matter where your adventures might take you.

Contribution

Hand Gesture Recognition

  • Designed and implemented a Hand Gesture Recognition system on the Raspberry Pi, involved developing and fine-tuning machine learning models to recognize and interpret various hand gestures.
  • Inferred hand gesture using the MediaPipe pre-trained model.
  • Programmed timer and photo capture subsystem.
Course Project Computer Vision Artificial Intelligence
Hyungjun Doh
Hyungjun Doh
Master’s Student

My research interests are Human-AI interaction and its practical applications, with a specific focus on Extended Reality, Task Guidance Systems, and AI-infused interfaces.