1. Image Acquisition

• Capture high-resolution images of components using industrial cameras or sensors to cover all angles.

2. Preprocessing

• Enhance image quality and remove noise to optimize data for accurate predictions.

3. Object Detection

• Utilize AI algorithms, such as convolutional neural networks, to detect defects in components.

4. Classification and Decision Making

• Identify defect types and severity to decide on appropriate actions like rejection or repair.

5. Reporting

• Generate detailed reports on inspection results and identified defects for quality assurance.

6. Feedback Loop

• Refine AI models continuously with feedback to improve detection accuracy and efficiency.

1. Data Acquisition

• The system captures audio data from microphones, monitoring the environment for threats.

2. Preprocessing

• Audio is preprocessed to enhance quality and reduce noise for better analysis.

3. Feature Extraction

• Signal processing extracts audio features from data, focusing on characteristics of human activity.

4. Detection

• DNN models analyze features to identify sounds that signify human presence, like footsteps or whispers.

5. Classification

• The system classifies sounds into categories like speech and noise, enhancing audio understanding.

6. Decision Making and Reporting

• The system analyzes classified sounds to assess threats, generate real-time alerts, and enhance AI accuracy.

1. Configuration

• Define start points, endpoints, intermediate points, and map layers using an intuitive dialog interface.

2. Geographical Data Input

• Specify coordinates and select relevant map layers for accurate route planning.

3. Route Calculation

• Process geographical data to calculate route parameters while accounting for constraints.

4. Optimization

• Use advanced algorithms to determine the most efficient and optimized routes for navigation.

5. Data Interaction

• Seamlessly interact with and modify geographical data layers within QGIS for efficient analysis.

6. Data Interaction

• Process geographical data to calculate route parameters while accounting for constraints.

1. Image Acquisition

• Capture high-resolution images of documents using cameras or scanners for optimal data quality.

2. Preprocessing

• Enhance image clarity and remove noise, preparing data for accurate text extraction.

3. Text Detection

• Utilize advanced OCR and computer vision to locate and identify text within document images.

4. Data Extraction

• Employ NLP and CNN models to extract essential data fields from detected text.

5. Data Classification

• Organize extracted data into predefined categories like names, addresses, and IDs.

6. Validation, Reporting, & Feedback

• Ensure data accuracy, generate reports, and enhance models through feedback.