HomeFront Intelligent Target System
Project
Manually checking and taping targets whileyou're shooting sucks.Our sponsor iskeenly aware of this as he is a firearmsinstructor.We want to make a computer dothe work for you.
Our goal for this project was to create a system that would automatically detect where on a target you hit, eliminating the need to manually check or tape the target. The system must be highly portable, durable, and accurate.
Design Description
- Main device body is 3D printed -feet and armor custom ordered. Contains 2). And 3).
- RaspPi camera photographing target while Raspberry Pi runs machine vision model and relays location to app on user's phone.
- Teensy running microphones to detect shot and give rough estimate of bullet location.
Performance Review
- Analysis
- Position Accuracy
- Total System Weight
- System Dimensions
- Survivable Impact
- Setup Steps and Time
- Time exposed to inclement weather
- Testing
- Operating Distance
- Time Accuracy
- Refresh Rate
- Survivable Impact Caliber
Conclusion
- The casing does a great job of protecting the electronics, and the sensors are functioningproperly, but the software needs work.
- Lessons Learned: Projects always take twice as long and cost twice as much as you think.
- Recommended Future Work: Get Computer and Electrical engineers to work on the software and app development. Upgrade to an Nvidia Jetson for faster image processing.
Team Members:
Andrew Crook, Riley Cook, Haydon Cooper, Kogan Powell, Jake Porter, Josh Hawkins
Contact info: porter.jacob430@gmail.com
A huge thanks to Dave Cerchio, our sponsor and owner of Protect the Homefront