ANIMAL DETECTION USING SSD MODEL WITH RASPBERRY PI FOR VEHICLES

Authors

  • Rakesh Kumar Mandal, Payel Saha, Rahul Bir, and Dipankar Kumar Roy

Keywords:

Object Detection, SSD model, Common Objects in Context (COCO) dataset, Opencv, Raspberry pi, Sensors

Abstract

Animal detection is an emerging field of interest now a days. Movement of animals are detected for many purposes. Sometimes animals are detected for saving their lives near highway and railway trucks. Sometimes they are traced on fields and need to drive them away in order to save the crops. This paper is an approach towards detection the animals using mobile net from moving vehicles. Raspberry pi which is suitable for the SSD model has been used here. An alarm has been generated here on the detection of an animal. COCO dataset has been used here for the detection.

Downloads

Published

2024-07-31

How to Cite

Rakesh Kumar Mandal, Payel Saha, Rahul Bir, and Dipankar Kumar Roy. (2024). ANIMAL DETECTION USING SSD MODEL WITH RASPBERRY PI FOR VEHICLES. International Journal of Advances in Soft Computing and Intelligent Systems (IJASCIS), 3(2), 175–185. Retrieved from https://sciencetransactions.com/index.php/ijascis/article/view/16

Similar Articles

1 2 3 > >> 

You may also start an advanced similarity search for this article.