Safety Equipment Detection

This function block is designed to analyze images for the presence of safety equipment such as helmets, vests, goggles, and gloves. It provides counts for both the presence and absence of these items, making it a useful tool for safety monitoring in various environments.

📥 Inputs

Image Any An image to be analyzed for safety equipment detection.

📤 Outputs

Output Image The modified input image with detected safety equipment highlighted.

Helmet Count The count of helmets detected in the input image.

Safety Vest Count The count of safety vests detected in the input image.

Safety Goggle Count The count of safety goggles detected in the input image.

Safety Glove Count The count of safety gloves detected in the input image.

No Helmet Count The count of instances where helmets are not detected.

No Safety Vest Count The count of instances where safety vests are not detected.

No Safety Goggle Count The count of instances where safety goggles are not detected.

No Safety Glove Count The count of instances where safety gloves are not detected.

🕹️ Controls

Confidence Ratio A slider that allows users to adjust the confidence threshold for detecting safety equipment. The higher the value, the more certain the detection needs to be before considering it accurate.

🎨 Features

Real-time Detection The function block processes images in real time to detect safety equipment.

Comprehensive Outputs Outputs include counts for both the detected safety equipment and those that are missing, providing a comprehensive overview.

📝 Usage Instructions

1. Input Image: Connect an image containing persons or environments where safety equipment needs to be detected.

2. Set Confidence: Use the Confidence Ratio slider to set the desired confidence level for detection.

3. Evaluate: Run the block to perform safety equipment detection on the connected image.

📊 Evaluation

Upon evaluation, the function block analyzes the image, highlights detected safety equipment, and provides counts for each type of equipment detected or undetected.

💡 Tips and Tricks

Adjusting Confidence Settings

If you notice false positives or negatives, try adjusting the Confidence Ratio slider. Increasing the value may reduce false detections, while lowering it may help detect objects that are harder to identify.

Using with Other Filters

Consider preprocessing the image with HSV Filter or Image Threshold for better results. This can help foreground items stand out against their backgrounds.

Multiple Images

If you plan to analyze multiple images, consider using the Batch Processing function block to streamline the analysis.

🛠️ Troubleshooting

No Safety Equipment Detected

Ensure the image is clear and that safety equipment is visible. If detections are still low, try adjusting the Confidence Ratio or improving the image quality.

Output Issues

If the output image does not display correctly, check to ensure the input image was properly connected and has the correct format.