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The intelligent degree of domestic animal husbandry is not high and the related environmental monitoring system depends on the import. In response to this situation, an unattended information processing system was designed and implemented based on Raspberry Pi and multisensor. The platform used temperature, humidity, image and voice sensors array which were driven by raspberry wiringPi drive library to realize the real-time monitoring on the complex environment of pig farm. In the program design, multi process technology is used to make the modules work together to ensure the stable and efficient operation of the system. The image processing algorithm is designed based on Open Source Computer Vision Library (OpenCV) and the target state is judged by scanning the characteristics of objects in images. Measured data were processed and transmitted to PC through the Raspberry Pi WIFI to built the log file. The driver of the hardware was realized by using the wiringPi integrated library. The whole test system was carried on a mobile platform to realize mobile monitoring. In system testing, the system runs steadily, the measurement accuracy of temperature and humidity data is up to 0.1, and the system can respond to the dangerous situation in time.