Qualitas EagleEye® Hardware For Image Acquisition
Image Acquisition Module that comes with different lighting, camera, and lens configuration along with a flexible mounting arm

Image Acquisition Module that comes with different lighting, camera, and lens configuration along with a flexible mounting arm
Qualitas EagleEye® Edge - A highly powered Deep Learning based inferencing software. Images are captured and are inferenced with an Artificial Intelligence accelerated vision controller to run our cutting edge Deep Learning Inferencing algorithm
Web Application for Image Capture, Annotation, Deep Learning Training, Deployment Management and Accuracy Measurement
Quality Control Optimized With Trained AI Models
Plug n Play camera setup for optimized image acquisition
Configure and plan collection of training images
Using specialized DL architectures train optimized models using cloud infrastructure
The optimized model will be deployed for Inferencing on an appropriate Edge device and monitored and fine tuned for accuracy

ENGINEERING TOOLSEagleEye Platform · Dual GigE Cameras · 5-Stage Vision Pipeline This case study documents the design and deployment of the EagleEye Inspection Platform, an AI-powered automated quality inspection system developed by Qualitas Technologies for a global manufacturer of precision personal care tools. The platform employs dual industrial cameras and a five-stage vision pipeline to evaluate every tweezer across five critical quality parameters at production speed, replacing subjective manual inspection with objective, data-driven pass/fail determinations and complete traceability.
AUTOMOTIVEThree-station automated inspection — loading, Keyence top + front vision, and intelligent mark-and-reject — delivering zero-PPM quality at 20 parts per minute.
FMCGThis application note examines the inspection challenge, current approaches, a modern machine vision architecture, and expected outcomes.

The Qualitas EagleEye® comes with a modular design with the choice of image resolution, fixed focal length optics, and illumination. Illumination choices include spotlight, dome light, ring light, and bar light.

Once the camera module has been installed, images captured will be sent to our cloud application for annotation and teaching. Using a simple point and click software interface, images can be labeled which is then trained using a Deep Learning training module.

Trained models are deployed "over the air" using a one-click deployment interface. Once deployed the autonomous vision system is able to autonomously inspect the images captured and results are obtained.

Continuous performance and accuracy monitoring with closed-loop re-training for error corrections can be done using the cloud based application.

Machine Builders and System Integrators need to minimize costs and provide maximum value to their customers but face certain challenges:
Machine Builders have to deal with installation delays due to the complexity involved in the installation and commissioning process of machine vision solutions.
System Integrators source products from multiple vendors and face difficulty with the maintenance and solution corrections due to insufficient technical support from vendors.
Improving Efficiency With A Point & Click Interface

