Who's a Good Boy? Reinforcing Canine Behavior in Real-Time using Machine Learning

Autor:	Stock, Jason, Cavey, Tom
Rok vydání:	2021
Předmět:	Computer Science - Computer Vision and Pattern Recognition
Druh dokumentu:	Working Paper
Popis:	In this paper we outline the development methodology for an automatic dog treat dispenser which combines machine learning and embedded hardware to identify and reward dog behaviors in real-time. Using machine learning techniques for training an image classification model we identify three behaviors of our canine companions: "sit", "stand", and "lie down" with up to 92% test accuracy and 39 frames per second. We evaluate a variety of neural network architectures, interpretability methods, model quantization and optimization techniques to develop a model specifically for an NVIDIA Jetson Nano. We detect the aforementioned behaviors in real-time and reinforce positive actions by making inference on the Jetson Nano and transmitting a signal to a servo motor to release rewards from a treat delivery apparatus. Comment: 8 pages, 6 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2101.02380 Zobrazit plný text záznamu View this record from Arxiv