Figure 1
Figure 2
Team 17
Team Members |
Faculty Advisor |
Deven Vincelette |
Shalabh Gupta Sponsor Interface Technologies |
sponsored by
Automated Bear Detection and Deterrence System
Over the course of the last decade, the amount of bear conflicts in Connecticut has risen dramatically. According to the Connecticut Department of Energy and Environmental Protection, conflict reports have risen to over 3000 in 2022 from around 500 in 2015. This is a dramatic increase. Because of this, the need for a device that can effectively deter bears from Connecticut Residents' properties has risen. This device should cost $300 so it is affordable for the average consumer, although an initial prototype will cost more. According to DEEP and other studies, loud sounds and light is an effective deterrent for black bears. This project aims to use an Infrared camera paired with an AI detection model to detect the encroachment of bears onto properties. Using the output of this model, a bright light and loud sound will be activated to scare the bear away. The Computer Science team (CSE Team 43) is working on developing a Bear detection model to host on a Raspberry Pi. The ECE team is responsible for the design of the device, including but not limited to the Camera setup, speaker amplification and output, light output, and power distribution. A system design model can be seen in Figure Two. Figure One shows the completed physical device complete with a light and sound deterrent.