Wild Animals Detection and Alert System

Animal Detection in Man-made Environments using Deep Learning

Detection of Animals in camera trapped images using RetinaNet in pytorch.

Image Processing and Deep Learning algorithm to detect leopards from a live camera feed.

Agri-Pal is the simplest solution to aid a farmer in Agriculture - Crop and Poultry Farming. Agri-Pal is a simple Plug n Play device ensuring Disease Detection and Animal Breach Detection.

This Python-based code that utilizes OpenCV's DNN module with MobileNetSSD to detect animals in the farmland.The code provides a GUI using Tkinter, allowing users to select a video file and start the animal detection process. When an animal is detected, an alert is triggered with a siren sound.

Sem. VI Neural networks created to detect animals hidden in their natural environments.

Urban Disaster Monitor: AI-powered computer vision app using YOLOv11 to detect and classify civilians, rescuers, and animals in urban disaster scenarios.

HSE project. Idea to create animal detection system with voice guidance

A model to automatically identify and classify animals in images. It's implemented using transfer learning from pre-trained weights of EfficientNet B7. It has an average accuracy of 86%.

Detecting Dormice in Images Using Object Detection and Transfer Learning

Real-time Al animal detector using TensorFlow + OpenCV. Identifies elephants, lions, tigers, and more plays alert sounds when danger is detected. Perfect for forest safety & wildlife monitoring.

A containerized end-to-end monitoring system that uses YOLO object detection to identify cats from ip-camera streams, stores results in a database, and sends real-time alerts via MQTT. This could trigger your sprinkler...