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PRECISION DEFECT DETECTION
Mindtrace’s Brain-Sense™ Platform, delivering leading-edge defect detection accuracy for manufacturers across the globe.
Precision defect detection
Overview
Watch an introduction to Mindtrace’s Precision Defect Detection Capabilities.
Precision Defect Detection
Industry Challenges
Inconsistent manual QA inspection processes
Manual defect and anomaly detection are prone to human error.
Inspection Accuracy Variability
Poor levels of accuracy lead to high levels of cost.
Data Limitations
Traditional AI Solutions require thousands of labelled data samples to train a model, making it a time-consuming challenge to implement AI.
Limited Adaptability
Traditional AI Solutions lack adaptability to changing use cases.
Mindtrace
Brain-Sense™ Solutions
Mindtrace offers Manufacturers a complete AI solution for Precision Defect Detection, supporting clients’ AI journey and enhancing their defect detection capabilities. Mindtrace’s Brain-Sense™ Platform creates and deploys a custom AI brain for the client’s organisation, using Cloud, dedicated hosts or Edge devices. The AI brains localise and classify product defects on the manufacturing floor, delivering industry-leading accuracy. This proactive approach enhances manufacturers’ capabilities whilst simultaneously increasing accuracy and reducing costs.
End-to-end Solution
01
Image Classification
Performed by the Mindtrace C-Brain
Mindtrace supports over 1000 classes and defect types. The quality defect standards are based on the customer’s requirements.
- Product Quality Grading - Good/Bad/Faulty.
- Defect Classifications - Scratch / Oxidation / Corrosion /Nick / Missing parts.
- Manufacturing Product Identification - Brands/Logos/Serial Numbers.

02
Defect Detection
Performed by the Mindtrace D-Brain
Mindtrace supports most imaging formats, including RGB, X-RAY and DCOM to localise defective regions.
- Highlighting defective regions with confidence levels.
- Bounding box around defected regions, or heatmap visualisations to pinpoint defective regions.

03
Image Anomalies
Performed by the Mindtrace A-Brain
Mindtrace supports a variety of industrial environments to detect anomalies.
- Distinguish product qualities into anomalies and normal.
- Identify and isolate anomalies visually through bounding box segmentation or a heatmap.

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Industry-leading Brain-Sense™ Technology
Mindtrace’s Brain-Sense™ platform is at the forefront of AI technology, rapidly creating and deploying customised AI brains which exceed our client’s requirements while simultaneously reducing costs and inspection cycle time.
Reduction in Rollout Time
Pretrained and optimised AI brains enable significant reductions in rollout time.
AI Brains Capable of Dynamic Learning
Consolidates new use case knowledge through continuous learning on the line, during the production cycle.
Minimal Data Required
Harnessing Few-shot learning, Mindtrace AI Brains produce industry-leading accuracy using minimal data samples.
Reduction in Data Tagging
Mindtrace AI Framework requires minimal labelled data samples, reducing labelling costs.
Brain-Sense™ Technology
Producing Best-In-Class Results
Global
Industrial Segments Mindtrace Supports
Automotive
Aerospace
Heavy Industrial Equipment
Electronics
Mintrace
Articles
Read Mindtrace articles and case studies to learn more about how Mindtrace technology is utilised within precision defect detection.
01.
Enhancing defect detection for a leading automotive company
Completing a large-scale transmission corridor inspection project for a large multinational power distribution company.
02.
Few-Shot Learning - The answer to minimal amounts of data samples
Understanding and exploring the advantages of few-shot learning and how it’s changing AI Solutions for businesses across the world.
03.
Working with a world-leading aerospace supplier
Enhancing a tier 1 aerospace supplier’s defect inspection capabilities through x-ray imagery on the welding lines.
04.
Exploring the difference between labelled and unlabelled data
What are the differences between labelled and unlabelled data and how does it impact businesses?