Maker-Ray AIS 203-HW
Maker-Ray’s AI-powered SMT AOI machines offer unmatched precision and efficiency. The advanced technology and intelligent algorithms ensure comprehensive inspection of solder joints, component placement, and more. The state-of-the-art AOI machine streamlines your SMT production line, optimizing quality control for your manufacturing needs.
The AIS203 by Maker-Ray stands out as an advanced AOI machine designed specifically for PCB inspections. This state-of-the-art system incorporates vision systems empowered by cutting-edge AI technology, thereby revolutionizing the field of automated optical inspection. Offering a combination of AI intelligent programming and online/offline capabilities, our AOI machine efficiently supports mixed PCBs. With quick programming, accurate component detection, and intelligent algorithms, it ensures precise analysis and detects absent, polarity, and wrong components.
- AI intelligent programming
- Online/Offline programming
- Support Mixed PCB
- AI model training
- Apply AI deep learning algorithm to achieve strong Inspection Capability: Deep learning network create multiple levels of abstraction layers to represent data features, and filter them through a classification layer of features to obtain identification results. The application of deep learning algorithms in the field of industrial inspection can solve the two traditional algorithm pain points of long programming time and high false alarm rate.
- Auto search component /Intelligent adjust parameter: Auto search to locate and configure parameter nearly a hundred component types, auto dentify the polarity of resistors, optocouplers, sockets, etc. Programming time 10-20min, debugging time 10-15min
- Intelligent color ring inspection algorithm: Based on the deep learning algorithm, input color ring resistance template and picture into the deep network to extract high-dimensional feature sequences, result come by comparing these high-dimensional feature sequences.
- Inspect socket absent/ polarity /wrong: Apply deep learning algorithm to achieve the inspection for absent/ polarity /wrong
