Building Compact AI Visual Inspection Systems
Applications and Cases
Key Takeaways
Accelerate the development of compact visual-inspection systems with on-device AI. InHand Mo-series AI single-board computers provide a ready Linux and AI runtime environment for image capture, model inference, and result output, helping developers move faster from a trained model to an equipment prototype.
Background
Manufacturers are adopting machine vision to improve inspection consistency and reduce reliance on repetitive manual checks. Yet every inspection task is different: cameras, lighting, product materials, defect definitions, and line speeds all affect model performance. Building a working system therefore requires more than an AI model. Developers must integrate image capture, edge inference, result output, and application logic within the available equipment space. A compact, model-ready computing platform can simplify this early integration and validation work.
Customer Requirements
Constraints
Tasks
Solution
The visual inspection solution combines a camera and lighting setup, an InHand Mo-series AI single-board computer, and customer-developed inspection software. Mo receives image or video input, runs compatible detection or classification models locally, and outputs results for recording, review, alerts, or downstream control logic.
Mo provides Debian 13, TI TIDL, OpenCV, GStreamer, and support for TFLite and ONNX models. This prepared environment reduces initial setup work and helps developers validate the vision pipeline before completing application-specific integration. Each inspection project still requires suitable image data, camera and lighting design, model training, threshold tuning, and testing under actual line conditions.
Mo 62A provides 2 TOPS for lightweight, typically single-camera validation. Mo 68A provides 8 TOPS, USB 3.0, and additional expansion for applications requiring more processing headroom. Performance depends on the model, image resolution, frame rate, and inspection requirements.
Benefits
Foundation
