MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641041769 A) filed by Mohan Babu University; and Dr. N. Padmaja, Tirupati, Andhra Pradesh, on April 1, for 'intelligent animal intrusion detection and recognition system using image processing and convolutional neural networks.'
Inventor(s) include Dr. N. Padmaja; Dr. K. Maheswari; Dr. Sowmya Gali; and Dr. Choda Durga V Subba Rao.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses an intelligent animal intrusion detection system (100) employing image processing and convolutional neural networks (CNN) for real-time detection, tracking, and recognition of animals. The system comprises an image acquisition unit (110), preprocessing module (120), feature extraction unit (130) using Histogram of Oriented Gradients (HOG), an ACE Toolbox-based descriptor module (140), and a classification unit (150) integrating SVM and CNN classifiers (160). A microcontroller unit (170) manages servo-based camera movement, while a communication module (180) transmits alerts to a monitoring interface (190). The system effectively classifies animal species such as fox, wolf, bear, hog, and deer with high accuracy and is applicable in forest, agricultural, and residential security applications."
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