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​Why Automated QualityControl?

In today's fast-paced manufacturing world, quality and efficiency are non-negotiable. Manual inspection methods are slow and error-prone, causing downtime and higher costs. Enter AI-driven automated quality control: a necessity for modern manufacturers. It ensures precision, minimizes waste, and boosts customer satisfaction. Embrace this innovation to stay ahead, setting new industry standards.

Up to 80% reduction in inspection time compared to manual methods
Enhanced detection accuracy with AI models capable of identifying defects as small as 50µm
Cost savings of ~50% over traditional quality control methods, factoring in labor, rework, and scrap costs
24/7 operation capability, ensuring consistent quality round the clock

Seamless Interoperability Solutions

EaglAI DETECT ensures broad compatibility with various industrial cameras and hardware, alongside streamlined integration with established automation and digitization platforms.


Surface Defect Detection

Detecting the location and type of defect on objects rapidly

- 360° surface inspection in as little as <2.5 seconds

- Retrofitted to work with the existing hardware setup

- Large volume of objects checked per day

Dimensional Checking

Measuring dimensions including diameters, angularity, and distances of any geometry present

- Multiple geometries measured in a single image

- Irregular polygons measured efficiently and accurately (~50 microns)

Smart Object Counting

Automating the detection and quantification of objects

- Automated counting, classification and segregation through custom software

- Inspection at multiple check-points

Traceability established and
the hassle of manual reporting eradicated

Text & Code Recognition

Reading & extracting information printed on objects  in the form of alphanumeric strings & codes like barcodes, QRs, 2DMs etc.

OCR scans and detects proper/improper printed text and code

- Industrial camera & lighting setup helps identify mistakes 

Extraction & reading of text confirms that the correct data is being printed

Next-Gen Inspection

Detecting defects not visible to the naked eye, but visible in thermal images and through sound signals

- Thermal defects as small as 100 microns detected

Raw acoustic signals from sensors are recorded by a data acquisition system

Abnormal features in signals depicting jerky motions identified

Poka Yoke: Human Error Prevention

Making the system/process fool-proof 

Anomaly Detection to detect the presence, orientation, type , color, etc. and any misalignments

Multiple assembly requirements inspected with ease

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