Abstract: Traditional management of the "Three Violations" by coal mine workers mainly relies on manual methods and cannot automatically identify such behaviors. This approach faces challenges such as high labor input, low efficiency, and inability to detect violations in a timely manner, making it difficult to meet coal mine safety risk prevention requirements. With the development of artificial intelligence, big data, the Internet of Things, and especially the application of computer vision technology in the intelligent recognition of coal mine workers' "Three Violations", the intelligent recognition system can automatically identify such violations. These systems offer several advantages, including reduced personnel requirements, high efficiency, timely detection of violations, and minimal influence from human factors. ① Based on the functional requirements for detecting "Three Violations" in coal mines, the intelligent recognition system mainly includes the following functions: data collection, intelligent analysis, alarm triggering, control, storage and query, display, operation management, time synchronization, reporting, and mobile application. ② Based on key operational areas in coal mines, the proposed scenarios for intelligent recognition of "Three Violations" include: main shaft, auxiliary shaft and ventilation shaft entrances, dispatching room and underground duty room, hoist engine room, air compressor room, main ventilation room, electromechanical chamber, permanent refuge chamber, pump room, central/mining area substation, upper and lower entrances of coal and gangue bunkers, shaft bottom car yard, major equipment installation, withdrawal, hoisting and maintenance operations, underground blasting material warehouse, emergency refuge facilities, head and tail of belt conveyors, coal mining working face, tunneling working face, underground construction sites for water exploration and drainage, gas drainage and pressure relief drilling for rock burst, support operations, and other dangerous or important workplaces, as well as coal mine surface industrial plazas.