Smart. Simple. Changeover in Seconds.
Highly integrated hardware and self-developed lightweight AI enable one-sample, one-second training for rapid 2D vision deployment.

Core Value
Traditional 2D vision often means siloed systems, tedious integration, high expertise requirements, and inflexible setups. AIC-Lite addresses these challenges with a highly integrated camera.
Multi-zone controllable lighting, a motorized zoom lens, and a global shutter camera — one device that flexibly handles a wide range of product sizes.
Self-developed few-shot learning with no-code model training. Real-time AI training — no GPU server required, no production downtime.
The Mech-Vision platform supports the entire 2D+3D vision workflow with drag-and-drop, no-code programming, reducing project deployment time from weeks to 1–2 days.
Lightweight AI Algorithms
Pre-trained on millions of industrial images, the AI foundation model requires only one standard sample image to complete model training in as fast as one second.
Proven on Production Lines
Highly Integrated Design
Integrating multi-zone controllable lighting, a motorized zoom lens, and a global shutter camera, this all-in-one device adapts to various product sizes with intelligent algorithms and intuitive software.

8–16 mm motorized autofocus lens supports multiple working distances and part heights — no manual adjustment required during changeover.
The main model integrates 12 LEDs with 4-channel control, adapting to reflective surfaces and low-contrast applications.
Captures fast-moving objects without motion blur, delivering clear and stable images.
8–16 mm motorized autofocus lens supports multiple working distances and part heights — no manual adjustment required during changeover.
The main model integrates 12 LEDs with 4-channel control, adapting to reflective surfaces and low-contrast applications.
Captures fast-moving objects without motion blur, delivering clear and stable images.



Typical Applications
Key Specifications
For detailed product specifications, please refer to Mech-Mind Documentation.