In the machine vision system, the most important thing is to ensure that the image of each frame is transmitted stably and quickly to the industrial control computer equipment, but often because of poor hardware and software compatibility, the image data is often lost during the transmission process, which is what we often do Said dropped frames.
The common manifestations of frame loss include abnormal data processing, freeze of display results, and image faults.
So what are the main factors affecting frame loss?
Industrial Camera
Industrial cameras are the core components of image acquisition and image data transmission. If there are defects in hardware and driver design, when a new image is acquired, the previous image is still being processed, and the camera itself is not enough to store the acquired If there are new images, then these image data will block the channel, causing some images to be discarded, resulting in frame loss.
Software Program
The visual software program has a buffer mechanism for calculating and processing image memory space, which can give the program enough space to process images by increasing the cache capacity. When the machine vision system is running, the overall processing speed of the CPU is slower than the speed of the captured images. If the CPU is already running at high speed, the cache is not enough, and a large number of new pictures are collected, the receiving efficiency is too low, and the cache of the industrial camera itself is insufficient. It will cause software cache saturation, image overflow, and cause frame loss.
Frame Grabber
The frame acquisition card is an interface device that connects industrial cameras and computers, and is an important bridge for image data to be transmitted from industrial cameras to computers. As a key device for image transmission of the entire machine vision system, if its reliability and compatibility are poor, data will be lost during transmission, which will cause frame loss.
In addition to the above factors, the harsh working environment, poor anti-interference of transmission cables, and insufficient storage medium capacity are also common factors affecting frame loss.
As the saying goes, "details determine success or failure." In some specific areas, frame loss can even cause immeasurable impact. For example, in the field of photovoltaics, frame loss will cause abnormalities in silicon wafers and battery panels, which will seriously reduce the photoelectric conversion efficiency; in the medical field, frame loss will cause surgical operation errors and endanger the lives of patients; Detect obstacles and avoid obstacles, causing major traffic accidents.
At present, the machine vision industry is booming, but the problem of frame loss has not been completely solved. In this regard, users can choose products with strong compatibility and stable and reliable performance to avoid frame loss to the greatest extent, reduce potential damage and risks, ensure the stable operation of the machine vision system and high-quality image processing, and improve work efficiency and quality .