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In the construction of railway infrastructure, track safety maintenance is a weak link to be solved urgently, and track condition detection is an important means to ensure the safe operation of trains. The application of OpenCV image processing set and embedded computing platform to track image acquisition and processing, fast segmentation and recognition of key equipment status in track image is an important research topic to solve the high cost and low efficiency of existing track detection technology. In order to study this subject, an embedded image acquisition and processing system for track detection trolley is designed, including the overall system structure design, hardware selection and circuit design, and software operation results test. Using Linux platform as the processing core, using Cadence to design STM32 single chip synchronous acquisition trigger circuit, design power supply system circuit, optimize orthogonal coding circuit and signal conditioning circuit, write synchronous trigger acquisition program under the system of C/OS-II, complete the configuration, installation and testing of car acquisition system, and verify that OpenCV program is embedded. The stability of the platform and the practicability of the algorithm.