PPE Detection

How it Works

Personal Protective Equipment Detection

Nodeflux PPE (personal protective equipment) Detection is an analytic designed to automatically identify and track the use of PPE in real-time, using computer vision and deep learning algorithms. This technology is useful in a variety of settings, including manufacturing, construction, and healthcare, where the use of PPE is critical to maintaining the safety and health of workers.

PPE Detection that able to detect if person wear Helmet and Vest

Personal Protective Equipment

To verify that your camera can work with our PPE Detection analytic, try performing a test. Our model requires to detect a person with a height above 200 pixels on frame or the a quarter from the height of your display if the frame is 1080p. Less than that, the result might vary depending on how the person is visually presented.

Recommended person vs screen proportion

Architecture

Visionaire Personal Protective Equipment (PPE) utilizes a combination of other services:

1. Postgres - For database,

2. Docker Snapshot - For Personal Protective Equipment related,

3. Visionaire Docker Stream - For video stream processing,

4. Vanilla Dashboard (Optional) - Built-in dashboard for visualization.

Camera Specification

Camera Settings	People Analytics	General Analytics
Frame Resolution	1 - 4K	720p - 1080p
Codec	H.264	H.264
Codec Profile	Baseline	Baseline
Bit Rate Mode	Variable (VBR)	Variable (VBR)
Target Bitrate	2 - 6 Mbps	1 - 4 Mbps
FPS Rate	25 - 30	15 - 30
Bandwidth	4 Mbps	4 Mbps
Exposure Time/Shutter Speed	1/30 - 1/120s	1/30s - 1/120s

Camera Placement

Currently PPE that will be able to detect is Helmet (Red, Blue, White, Orange and Yellow) and Vest. The analytic also able to detect whether person wear the helmet on the head or not.

1. Short Range View (Up to 5 meters)

• Camera Placement: Ideal height is around 2 to 2.5 meters except for crowd estimation around 5 m - 10 m. Place cameras to capture areas like entrances, counters, or specific zones where individuals will be in close proximity.

• Camera Type and Specs: Use wide-angle lenses for a broader field of view. A resolution of 1080p or higher ensures detailed images.

• Lighting: Uniform, soft lighting to minimize shadows and glare. Artificial lighting should complement natural light.

• Analytics Focus: Ideal for detailed behavioral analysis and individual interactions.

2. Medium Range View (5 - 15 meters)

• Camera Placement: Height around 3 to 4 meters except for crowd estimation around 5 m - 10 m. Cameras should overlook areas like lobbies, hallways, or open office spaces.

• Camera Type and Specs: Standard lenses are suitable. A resolution of 1080p to 4K is recommended to maintain detail at this range.

• Lighting: Balanced lighting is crucial. Avoid areas with significant light variation (like directly under skylights).

• Analytics Focus: Suited for tracking movement patterns, group interactions, and general behavior analysis.

3. Additional Considerations

• Angle of Capture: Should be as direct as possible. Avoid steep angles to prevent distortion and loss of detail.

• Data Privacy: Ensure compliance with privacy laws and regulations. Inform individuals about surveillance and data usage.

• Environmental Factors: Outdoor cameras need to be weatherproof and capable of adjusting to changing light conditions.

• Integration with Analytics Software: Ensure cameras are compatible with your analytics software for seamless data processing and analysis.

View Sample

Optimal Condition

Ideal Conditions

1. Best results at 2.5m - 3m with a 45o - 70o angle.

2. Height can be adjusted up to 3m with a 45o angle.

3. Optimal Tilt: Middle Area

View to Avoid

Please avoid a CCTV view when there are a lot of mannequins, banner/digital ads which shows a person or hanged clothes in monitored area to prevent false detection.

Deployment Schema