Development of an Automated Cows In-Heat Detection and Monitoring System Using Image Recognition with GSM Based Notification System
Authors: Nilo M. Arago , August C. Thio-Ac, Miguel C. Apostol, Irwin James E. De Guzman, Albert Eli D. Reyes, Kathleen G. Rodriguez, and Roi Aldrin B. Toring
Abstract
Precise estrus detection is a factor for the reproductive performance of cows. The primary sign of estrus is the standing heat wherein a cow stands still for a few seconds while mating with other cows. Visual monitoring is the most common method used for detection of estrus that requires farmers’ time and attention for high yield. In this study, an estrus detection using image recognition is used to detect the standing heat. The system is comprised of detection, identification, and notification system. Scale Invariant Feature Transform (SIFT) is responsible for the detection and identification of in-heat cows. Using SIFT, the images of cows were registered in the database, these images were used for detection and identification of cows and an algorithm for feature overlapping were created to detect the standing heat. When a standing heat is detected, it is recorded into the computer and simultaneously the Global System for Mobile Communications (GSM) module will send an alert message.