AI Based Harnessing Canine Emotion Recognition to Prevent Bites

The AI-based canine emotion recognition system is developed to prevent dog bites by incorporating several advanced technologies, such as microcontrollers, image processing, voice ICs, spray motors, and an offline voice recognition module. The overall system will collect visual, auditory, and physiological data from dogs and analyze their behavior in real time for detecting signs of stress, aggression, or discomfort. It is constantly processing such information using machine learning models, and the result is early warning so that owners, trainers, or handlers take their preventions before a potential bite incident could happen. An offline voice recognition module can be included, allowing the system to understand predefined voice commands from owners, resulting in immediate responses and control without reliance on an internet connection. Moreover, spray motors can help correct or prevent bad behavior. This system allows it to real-time monitoring, facilitate communication between humans and dogs, and greatly reduce the likelihood of dog bites to encourage safe human-dog interaction.