SmartPeek Mini – an autonomous industrial quality control solution by Elinta Robotics that analyzes product images and verifies compliance against set criteria.

SmartPeek Mini combines computer vision techniques, machine learning models, and text/code reading into a unified quality control solution. It supports various industrial machine vision cameras and seamlessly integrates into production lines via industry-standard communication protocols. Built-in inspection history, statistics, and customizable recipes streamline daily quality management.

SmartPeek Mini is designed to inspect product quality based on camera imagery. Within a target area, it can detect objects, verify counts, analyze shapes and geometric parameters, and check brightness or contrast. Machine learning models classify products according to features trained for specific tasks. With dedicated modules, it also enables optical character recognition (OCR) and reads both barcodes and QR codes.

Inspections for different products are saved as distinct recipes. From a unified web interface, users can configure inspections, review results, access saved imagery, and monitor production statistics. The interface language and terminology can be fully adapted to client requirements. Select configurations also support retraining ML models based on collected and annotated product images—all managed seamlessly within the same interface.

SmartPeek Mini can be integrated with a wide range of industrial machine vision cameras. Optics, illumination, and analysis parameters are tailored to the specific product and manufacturing process. Industry-standard communication protocols connect the inspection unit with the line controller, while local processing ensures standard quality checks run reliably without requiring a cloud connection.

Powered by NVIDIA Jetson technology.