In this paper, an automatic oral liquid light inspection algorithm is designed to implement the detection

of particles in oral liquid. Second-difference and accumulate difference methods are used to remove the background

information the sequence images captured by a high-speed industry camera, and the target images with particles,

air bubble and random noise are acquired. Adaptive threshold processing is used to extract moving targets.

Real-time detection is completed by determining whether the size of particles, such as hair, fibers and so on, is larger

than the pharmaceutical standards. A large number of experimental results show that the proposed algorithm is

effective and feasible-In this paper, an automatic oral liquid light inspection algorithm is designed to implement the detection

of particles in oral liquid. Second-difference and accumulate difference methods are used to remove the background

information　the sequence images captured by a high-speed industry camera, and the target images with particles,

air bubble and random noise are acquired. Adaptive threshold processing is used to extract moving targets.

Real-time detection is completed by determining whether the size of particles, such as hair, fibers and so on, is larger

than the pharmaceutical standards. A large number of experimental results show that the proposed algorithm is

effective and feasible