Complex Animal Movement Capture and Live Transmission (CAMCALT)
Shreyas Ramachandran Srinivasan, Soorya Sridhar, Ganeshaanand Balasubramanian, Kaviarasan Vasu · 2018
Our forests need a smarter way to automate the existing forest surveillance and monitoring, eradicate the existing disadvantages of the Forest Trap Camera. The proposed concept in the paper will be very useful in achieving this. This is done by integrating "Internet of Things" into the device for Live feed wirelessly from any part of the world. The hardware includes a microcomputer that is capable of image processing, motion sensor, camera module, a GPS module, which are used to carry out the operation. The user interface is via an application that runs on a Raspberry Pi 3 Model B microcomputer that can be accessed on another computer via a graphical desktop sharing system that uses the Remote Frame Buffer protocol (RFB). This application gives a host of options to the administrator, including poacher identification via on-board image processing algorithms and GPS location to correctly identify the location of animal motion/poacher.