EagleEye® Hardware for Image Acquisition
An image acquisition module that comes with different lighting, camera, and lens configurations, along with a flexible mounting arm.
A complete solution for industrial machine vision inspection — from image acquisition to edge AI to the cloud.
EagleEye® brings cameras, lighting, AI inferencing, and a training app together in one package — so manufacturers can automate visual inspection with accuracy that improves over time.

Three tightly integrated modules cover the full inspection pipeline — capture, infer, and continuously improve.
An image acquisition module that comes with different lighting, camera, and lens configurations, along with a flexible mounting arm.
A highly powered deep-learning inferencing engine. Images are captured and inferenced on an AI-accelerated vision controller running our cutting-edge algorithms.
A separate management layer that archives every inspected image, lets a human in the loop query results instantly ("show me the last few defects for this variant, this shift"), and compares machine calls against human review to score inspection accuracy — flagging misses for annotation and retraining.
Quality control optimized with trained AI models — typically a 2–4 week engagement.
Modular hardware acquires high-quality images of every part with the right optics and lighting.
Images upload to the cloud app, where a point-and-click interface labels defects and features.
A deep-learning training module builds an AI model tuned to your parts and tolerances.
One-click "over the air" deployment to the edge, where the system inspects autonomously.


A modular design with a choice of image resolution, fixed focal-length optics, and illumination — spotlight, dome, ring, and bar lighting.

Captured images are sent to the cloud app for annotation. A simple point-and-click interface labels images, which are then trained with deep learning.

Trained models deploy "over the air" with a one-click interface. Once deployed, the autonomous vision system inspects captured images and returns results.

Every inspected image is archived and queryable. Run a human-vs-machine comparison at any time to calculate real inspection accuracy, then annotate and resubmit machine misses for closed-loop retraining.

Talk to our vision engineers and see how automated inspection can lift accuracy, cut waste, and deliver measurable ROI — in months, not years.