Breaking through the high cost and long deployment cycles of traditional AI customization. Focused on behavioral SOP in industrial scenarios, offering out-of-the-box high-frequency templates and minimal-target registration capabilities to help enterprises rapidly improve quality, efficiency, and cost reduction.
From trigger capture to edge inference to LA client business applications, building a complete hardware-software integrated error-proofing closed loop.
Auto-triggered via barcode scanner, physical button, photoelectric sensor, or video stream. High-magnification macro cameras and high-frame-rate line cameras capture action moments with precision.
Powered by edge training/inference all-in-one devices running local industrial LLMs. Target registration completed with just 1-8 minimal samples, delivering millisecond inference results.
The LA client handles event logic: OK proceeds to the next process, NG triggers alarm indicators and horns while syncing data to MES/PLC systems.
Say goodbye to lengthy model training and high customization costs
Built-in algorithm models for common targets like hands, PCBs, screws, and cartons. Combined with software logic, these form high-frequency application templates for screw sequences, missing parts detection, and cycle time tracking, dramatically reducing delivery costs.
No more massive data annotation. Register just 1-8 images on-site, and the edge inference device completes registration in under 1 minute — ready for applications like missing thermal pads, reversed fans, and missing light-blocking sponges.
For complex behavioral SOP scenarios, a drag-and-drop orchestration panel lets you freely combine inspection, classification, OCR, timing, and sequencing logic — zero code, fast response to fragmented customization needs.
All vision inspection and inference are completed locally on the edge device, meeting stringent data confidentiality requirements for product baking SOP and military manufacturing.
Deep in the workshop, solving real assembly pain points
Packaging stage prone to missing parts due to operator error, causing defective products to reach customers and triggering complaints and returns.
Pre-station identifies whether the concentrator and Part A are present; post-station checks for foam and manual placement. Reduces quality risk at the source and ensures delivery completeness.
During phone assembly, workers may skip removing the protective film before battery installation, preventing the device from powering on and causing costly rework.
Real-time algorithm detects hands near the battery area, confirms whether the blue film is removed before battery installation, and verifies battery count decreases normally.
Manual screw driving is prone to missed fasteners, misalignment, or failure to follow diagonal sequence, causing uneven structural stress and long-term safety risks.
Operators must fasten 6 screws in sequence using an electric screwdriver. Real-time video stream detection verifies completion and sequence — 100% compliant release only.
All-in-one devices require multi-directional appearance inspection including screen film status before shipping. Manual inspection is prone to missed detections due to visual fatigue and suffers from low efficiency.
AI vision-based QC station automatically performs multi-directional appearance checks and film presence detection. Inspection data is bound to SN codes in real time, ensuring 100% compliant release.
The LA client deployed at each workstation displays real-time judgment results without human intervention. OK passes to the next station; NG immediately stops the equipment and triggers audible/visual alarms.