The equipment adopts a lightweight design, with a total weight of only 3.5kg, and is equipped with a 20000mAh rechargeable lithium battery, supporting 8 hours of continuous use. It supports Bluetooth 5.0 and USB-C connections to mobile phones or tablets for real-time viewing of detection results, and is equipped with an adjustable LED fill light to adapt to different lighting environments. The AI algorithm can quickly identify common soldering defects, and can generate detection reports with one click, supporting offline storage of detection data.
The total weight is 3.5kg, with the overall size of 250*180*120mm, equipped with a 20000mAh rechargeable lithium battery, supporting 8 hours of continuous use. The detection resolution is 1080P Full HD, with a field of view of 100*100mm, and is equipped with an adjustable LED fill light. It supports Bluetooth 5.0 and USB-C connections, runs on the Android 13 mobile operating system, with 128GB of built-in storage capacity, and can detect common problems such as soldering defects, component offset and surface scratches.
It is suitable for electronic equipment maintenance service providers, on-site after-sales engineers and small electronic processing plants, mainly used for rapid detection of PCB board soldering defects and appearance defects of electronic equipment assembly. It does not need to be connected to a fixed power supply, and can carry out quality inspection in any on-site environment, and can also be used for rapid sample inspection in laboratories, helping enterprises achieve rapid quality control in different scenarios.
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