Video endoscopes achieve real-time image detection. The core lies in the closed-loop process of "front-end acquisition - signal transmission - back-end processing - real-time display". Relying on the collaborative effect of optical, electronic and digital technologies, the images of the detection area are fed back to the display terminal without delay, allowing operators to observe the internal scene simultaneously. The core logic is to quickly complete the conversion and transmission of "optical signal - electrical signal - digital signal", with no obvious lag or delay throughout the process.

The first step is the front-end image acquisition stage, which is the foundation of real-time detection. The front end of the video endoscope probe is equipped with a micro image sensor (commonly a CMOS or CCD chip), which is paired with a high-transparency optical lens group - the lens is responsible for converging the reflected light in the detection area and imaging the scene on the sensor's photosensitive surface. Meanwhile, a ring-shaped LED light source will be equipped around the probe (some high-end models use fiber optic light guide), which emits uniform light through the power supply of the main unit to illuminate the originally dim internal space, ensuring that the sensor can capture a clear light signal. The photosensitive surface of the sensor is composed of countless tiny pixels. Each pixel converts the received light signal into the corresponding electrical signal. This conversion process is as fast as the microsecond level, providing a prerequisite for real-time performance and avoiding image delay caused by excessive signal acquisition time.

Next comes the signal transmission stage, where the electrical signal needs to be quickly transmitted to the host. The collected raw electrical signal is an analog signal. First, it will be converted into a digital signal through the built-in micro analog-to-digital converter (ADC) of the probe. Digital signals have stronger anti-interference capabilities and can reduce signal distortion during transmission, making them particularly suitable for detection in long-distance or complex environments. The transmission methods are divided into wired and wireless types: Wired transmission mostly uses dedicated data cables, coaxial cables or optical fibers. Among them, optical fibers have the fastest transmission speed, can support the real-time transmission of 4K high-definition images, and are not affected by electromagnetic interference, making them suitable for industrial strong interference scenarios. Wireless transmission transmits digital signals to the host through Wi-Fi or Bluetooth modules without the need to drag cables, making it suitable for mobile detection scenarios. Its transmission delay is usually controlled within tens of milliseconds, which is almost imperceptible to the human eye.

Then comes the signal processing stage of the host, where digital signals are rapidly optimized. The dedicated image processing chip (DSP) built into the host will perform real-time operation and processing on the received digital signals: This includes noise reduction (removing ambient light or noise generated by electronic components), contrast enhancement (making the boundary between defects and substrates clearer), and color fidelity adjustment (ensuring that the image is consistent with the actual scene). Some devices also superimposed auxiliary markers such as rulers and crosshair in real time to facilitate operators in determining the size and location of defects. This processing procedure needs to be completed within an extremely short period of time and is usually carried out simultaneously with signal transmission to avoid the situation where "the image lags behind the operation". For instance, when the operator adjusts the probe Angle, the processing chip can respond immediately and update the display screen synchronously.

The final stage is the real-time display phase, which converts the processed signals into visual images. The optimized digital signal will be transmitted to the display screen of the host (or an external display). The display screen restores the real-time image of the detection area through the combination of light and dark and color of the pixel points. The resolution of the display screen needs to match the image sensor (such as a 1080P sensor paired with a 1080P display screen) to ensure that the image is not stretched or blurred. Some devices also support picture magnification and freezing functions. Operators can quickly focus on the suspected defect area while observing in real time, and even take images or videos simultaneously for archiving, without affecting the real-time detection progress. It can also retain key data.

The core of the entire process lies in "high-speed collaboration" : from optical signal acquisition, electrical signal conversion, to digital signal transmission, processing and display, the time consumption of each link is strictly controlled, and the total delay of the entire process is usually within 100 milliseconds, fully meeting the "what you see is what you get" detection requirements of the operators. Meanwhile, the equipment will ensure that its real-time performance and stability are not affected during long-term detection by optimizing the power supply design and simplifying the signal processing flow, etc., to meet the real-time observation requirements of various scenarios such as industrial equipment maintenance and pipeline inspection.