To improve the sensitivity of AI visual inspection equipment for plastic parts, we can take the following measures:

1. Improve hardware performance: First of all, you can consider upgrading the hardware performance of the device, such as increasing the resolution and frame rate of the camera, improving the brightness and stability of the light source, and optimizing the image processing capability of the device, so as to improve the accuracy and speed of the detection.

2. Optimization algorithm: Secondly, the algorithm can be optimized. By improving the image processing algorithm, the ability of image analysis and recognition is improved, and the sensitivity and accuracy of the detection equipment are further improved. Consider using deep learning and neural network techniques to train and optimize algorithms to better identify defects and foreign objects in plastic parts.

3. Adjust parameters: In addition, adjusting the parameters of the equipment is also an effective way to improve sensitivity. By adjusting the exposure time, contrast, color balance and other parameters of the device, the image can be clearer and more vivid, and the accuracy and stability of the detection can be improved.

4. Regular maintenance: Regular maintenance and maintenance of the equipment is also the key to maintaining sensitivity.

5. Continuous improvement: Finally, continuous improvement and optimization of equipment is a long-term task to improve sensitivity. With the continuous development of technology and the change of market demand, we need to constantly research and improve the equipment to adapt to a wider range of application scenarios and improve the performance of detection.

Through the comprehensive application of the above measures, it can effectively improve the sensitivity of plastic parts AI visual inspection equipment, improve its performance in the production and quality inspection process, and help enterprises improve production efficiency and product quality.