Optics
Optics
Application Scenario
Covers multiple industries including 3C, smart wearables, automotive and medical industries. Based on machine‑vision imaging and AI intelligent analysis technologies, it performs full‑dimensional precision inspection for products such as precision components, electronic components and appearance parts, including appearance defects, dimensional deviation, assembly defects and character recognition. It overcomes the limitations of manual inspection and meets industrial quality‑inspection requirements for high precision, high speed and 100% full inspection.
Standardized Process
Optical Imaging & Lighting: Custom lighting solution tailored to DUT characteristics. Industrial cameras are used to capture high‑purity images, effectively avoiding missed detection and false detection.
Target Feature Extraction: Through image preprocessing and contour positioning, appearance and dimensional features are accurately extracted to eliminate background interference.
AI Intelligent Analysis: Equipped with self‑developed AI algorithms to realize feature matching, defect recognition and dimensional measurement. It supports continuous iterative learning and delivers superior inspection performance compared with traditional solutions.
Integrated Inspection Equipment: Integrates imaging, analysis and execution units. It supports offline inspection and on‑line production‑line connection, featuring easy maintenance and flexible deployment.
Multi‑industry Application Verification: Widely applied in 3C, smart wearable, automotive and medical industries. Practical value of the solution is verified by inspection accuracy and efficiency data.
Application Scenario
Widely applied in consumer electronics and automotive lighting fields. For products such as various display panels, luminous devices and backlight modules, it realizes accurate inspection of key indicators including chromaticity, luminance, uniformity and defects. It covers full‑range luminous bodies including LCD, OLED, Mini/Micro LED, indicator lamps and ambient lamps, addressing pain points such as large visual‑inspection error, inconsistent standards and low efficiency.
Standardized Process
High‑precision Data Acquisition: Equipped with industrial‑grade optical devices directly connected to DUT, synchronously collecting core parameters such as luminance and chromaticity. It operates stably and is compatible with various luminous devices to guarantee measurement accuracy.
DUT Data Standardization Processing: Raw data is processed via noise reduction, calibration and normalization to eliminate interference errors. Standardized data sets are output to improve analysis efficiency.
Intelligent Analysis & Judgment on Platform: Relying on Yingzhao inspection platform and customized algorithms, it identifies defects such as bright/dark spots, color difference and light leakage in accordance with industry standards, performs automatic grading and generates visualized reports.
Automatic Closed‑loop for Production Line: Inspection data interlocks with sorting equipment to realize intelligent product diversion and defect marking. A closed‑loop of “Acquisition‑Analysis‑Sorting” is formed to reduce costs and improve efficiency.
Multi‑industry Application Verification: Widely deployed in consumer electronics and automotive lighting industries. Practical test data fully verifies the stability and reliability of the complete solution.
Application Scenario
Covers consumer, automotive‑electronics and other fields. It focuses on inspection of imaging quality, optical performance and point‑cloud accuracy for projection equipment and LiDAR products. It covers categories including household projectors, engineering projectors, automotive LiDAR and industrial LiDAR. It addresses industry challenges such as blurred imaging, distortion, color difference, point‑cloud offset and ranging error, so as to guarantee ex‑factory quality of imaging devices.
Standardized Process
Optical Projection / Laser Imaging: Drive the DUT to simulate real‑working conditions for pattern projection and laser point‑cloud output, enabling inspections consistent with actual application scenarios.
Image Data Acquisition: Industrial equipment synchronously captures imaging and laser point‑cloud data, recording core parameters such as definition, distortion and point‑cloud accuracy.
Platform Algorithm Analysis: Dedicated algorithms quantify various deviations, perform intelligent analysis and automatically generate professional inspection reports.
Integrated Closed‑loop of Inspection Equipment: Interlock with calibration devices to adjust defective products, realize closed‑loop integration of inspection and calibration, and improve yield rate.
Customer Case Validation: Deployed in consumer and automotive industries. Reliability of the solution is proven by improvements in accuracy and efficiency.