Anomaly Detection Tool

Techsolut's anomaly detection tool is designed to automatically identify unusual structures, objects, or behaviors in your visual data. Particularly effective for quality control, surveillance, and security applications, this tool spots elements that deviate from normal patterns without requiring exhaustive examples of defects.

Concept and Operation

Anomaly detection relies on a fundamental principle:

• Learning to recognize what is "normal" from examples
• Identifying anything that significantly deviates from this normality
• Quantifying the degree of anomaly to allow prioritization
• Precisely locating the anomaly in the image

This approach is particularly valuable when anomalies are:
- Rare and unpredictable
- Difficult to collect in sufficient numbers
- Changing in appearance

Technical Approaches

Our tool offers several complementary methods:

Reconstruction-based

• Autoencoders - Reconstruct the image and identify poorly reconstructed areas
• GANs (Generative Adversarial Networks) - Learn to generate normal images
• Diffusion models - Use the denoising process to detect anomalies

Distribution-based

• One-Class SVM - Builds a boundary around normal data
• Isolation Forest - Isolates abnormal observations
• Local density - Detects low-density regions in feature space

Comparison-based

• Similarity matching - Compares with a database of normal references
• Feature matching - Analyzes differences in feature space
• Optical flow - Detects abnormal movements in videos

User Interface

The interface offers a structured experience in several phases:

1. Normal data collection - Importing a set of anomaly-free images
2. Model training - Automatic learning of normality characteristics
3. Threshold configuration - Adjusting detection sensitivity
4. Test image analysis - Identification and visualization of anomalies
5. Feedback and adjustment - Refining the model based on results

Industrial Applications

Manufacturing Quality Control

Detection of subtle surface defects, missing parts, incorrect assemblies.

Food Inspection

Identification of non-standard products, foreign bodies, or contamination.

Infrastructure Monitoring

Spotting cracks, corrosion, abnormal wear on critical structures.

Medical Analysis

Diagnostic assistance by identifying atypical structures in medical images.

Security and Surveillance

Detection of unusual behaviors, intrusions, or suspicious activities.

Advanced Features

Unsupervised Detection

Works without anomaly examples, only with normal data.

Continuous Learning

Gradually improves with new data and user feedback.

Anomaly Heat Maps

Visualization of the degree of anomaly through colored overlays.

Result Explanation

Helps understand why a region is considered abnormal.

Context Adaptation

Automatically adjusts thresholds according to environment or image conditions.

Integration and Deployment

The tool integrates easily into your existing processes:

• Industrial vision systems - Connection to production line cameras
• Surveillance systems - Real-time processing of video streams
• Quality assurance pipelines - Integration with automated inspection systems
• Mobile applications - Deployment on devices for on-site inspection
• Edge computing - Operation on dedicated hardware near the capture point

Key Benefits

• Reduction of false positives - Focus on true anomalies
• Adaptability - Works for various types of objects and environments
• Efficiency - Detects subtle anomalies that the human eye might miss
• Scalability - Adapts to new product types or conditions
• Explainability - Provides reasons for detections rather than simple classification