Cloud Vision API

1. Seller uploads product image.

2. Vision API identifies objects and labels in the image.

3. AI model categorizes the product based on detected labels and objects.

4. Product is listed in the appropriate category.

1. User uploads an image or video.

2. Vision API detects explicit content and offensive objects.

3. Content is flagged for review if it exceeds moderation thresholds.

4. Human moderator reviews the flagged content and takes action.

1. Invoice is scanned and uploaded.

2. Vision API performs OCR to extract text from the image.

3. AI model identifies and extracts relevant data fields.

4. Data is stored in a structured format (e.g., database, spreadsheet).

1. Cameras capture images of retail shelves.

2. Vision API detects and identifies products on the shelves.

3. AI model analyzes product placement and availability.

4. Alerts are generated if products are out of stock or misplaced.

1. Products pass through a camera system.

2. Vision API analyzes images to detect anomalies and defects.

3. AI model classifies the type of defect.

4. Defective products are automatically removed from the production line.