AI-Driven Defects Detection with 95% Accuracy

Manufacturers Are Facing
Losses Due to Ineffective Quality Checks

Manufacturing Defect

Defects in manufacturing
processes.

Quality Issues

Quality issues due to defects in raw materials.

Increased Costs

Increased costs due to rework and re-inspection.

Customer Loyalty

Customer loyalty is at risk due to manufacturing flaws.

Implement Defect Detection Solutions

Get Comprehensive Defect Detection For Manufacturing Processes

Our AI-powered solution, Defect detection, takes your manufacturing processes to the next level. It is designed to boost efficiency and accuracy with its multiple applications, including inventory management, defect detection, shop floor hygiene and safety, automated inspection, and adherence to SOPs. Say goodbye to manual inspection methods and hello to significant advantages.

 

Industries We Serve

Benefits

Savings

Manufacturers benefit from reduced labor and other operational costs

Quality

Production volume increases without compromising quality

Reduce Delays

Preventing defective parts by delaying assembly lines through early error detection

Improved TAT

Improved manufacturing efficiency and reduced turnaround times

Accurate

Delivering better accuracy rates than the human eye

Improved Processes

Identifying patterns in historical data to predict and improve future production processes

AI visual inspection works in 4 easy steps

We automate end-to-end process implementation for you, removing the intermediaries & ensuring that no manual
intervention is required. We offer a turnkey solution that easily integrates with your existing processes.

To collect the data, all you need is a camera, high-speed internet & storage space. Our data analytics model can be
trained to detect defects with a high degree of accuracy.

Step 1

Install cameras in the
production line

Identify right location to install the cameras and maintain proper distance & angle for a clean shot.

Step 2

Capture & store
the images

Capture 200+ images for defect-free & defective products, and label the images.

Step 3

Train analytics
model

Feed the analytics engine with labeled images. Train the model to analyze the photos & detect flaws.

Step 4

Deploy-the-solution

Deploy the
solution

Implement the solution in the production line and scale it as and when required.

Our Resources

Defects in E-Commerce Packaging

Our solution monitored packages with real-time image analysis, detecting defects and flagging defective packages for removal and re-inspection. This ensured that only defect-free packages were processed for end-delivery, enhancing product quality, customer satisfaction, and operational efficiency.

Removing-Defective-Terminal-Block

Removing Defective Terminal Block

Deep learning AI solution for quality inspection achieves 100% accuracy in defect detection by efficiently positioning 25 different variants based on shape and size. Generated consolidated reports for defect analysis and integration with an automatic rejection system.

Damaged-Biscuits-in-Biscuit-Packaging

Damaged Biscuits in Biscuit Packaging

Leveraged deep-learning AI software with real-time image analysis to inspect biscuit post-baking and while on the conveyor belt. Achieved 99.9% accuracy in ejecting faulty products. Our solution ensured consistent and reliable defect detection while streamlining production processes.

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