Defect detection algorithm for chain saw chain production line based on deep learning

With the rapid development of my country's manufacturing industry, the requirements for traditional manufacturing processes are becoming more and more stringent. Among them, the chain saw as a saw is a portable logging machine that uses a combination of a small internal combustion engine and a runner, and uses fuel as an energy source to drive the internal combustion engine to drive the flywheel to rotate and drive through the chain drive. Because of its portability, efficiency and high reliability, it is more and more popular with loggers all over the world. The chain saw chain is the core component of the chain saw, and its quality determines the service life of the chain saw. This paper combines the current mainstream artificial intelligence technology and applies it to the defect detection of chain saw chains, and proposes a deep learning-based defect detection algorithm for chain saw chain production lines. The production quality of the saw chain.