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 TOOLSRed-light illumination and deep learning on the Qualitas EagleEye Platform detect dents, bumps and scratches on bearing cages in real time.
ENGINEERING TOOLSDual-camera inspection and deep learning on the Qualitas EagleEye Platform catch spots, cavities and waviness on grinding discs in real time.
AUTOMOTIVECamera-based deep learning on the Qualitas EagleEye Platform classifies automotive gears by teeth count, with image analysis in under 300 ms.

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

