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According to the requirements of modern greenhouse monitoring and management, the status monitoring module of greenhouse devices was developed based on Android system. CAN bus system was used for the real-time environmental data acquisition and environmental devices control in greenhouse. The system software was developed based on Android operating system and it had the function of remote monitoring. Based on the real-time video data provided by the camera, different image recognition technologies were studied in the status detection of greenhouse devices to implement abnormal monitoring of fan and vent status of greenhouse ventilation devices. The frame subtraction method and autocorrelation function were used in the detection of fan switch. The background subtraction method and Canny edge detection were studied to detect the opening status of ventilation window. The real-time and accuracy of different algorithms were compared. Test results showed that the system data transmission was stable, the environmental regulation was reliable, the video image was clear and smooth, and the devices status can be detected in real time and reliably. The operation of the status monitoring module of greenhouse ventilation devices was simple and the interface was friendly, which guaranteed the safety of automatic control of greenhouse ventilation devices and realized the requirements of remote intelligent monitoring in modern greenhouses.