The Personal Protective Equipment (PPE) Detection model analyzes aerial construction site
images and quickly detects and labels PPE used on site. Identifying unsafe behaviors among
construction workers is critical for enhancing site safety. This model provides key
insight to owners, contractors, and construction site managers, allowing them to
prioritize safety and conduct regular jobsite safety training.
Key features include:
-
Fast analysis – Designed to ingest and analyze large sets
of data, this model can identify and locate multiple forms of PPE in a dataset, including
head gear, gloves, boots, safety goggles, safety vests, fall protection harnesses, and much
more.
-
Confidence Level Settings – We give you the flexibility
of choosing the confidence level you’d like the model to use for the PPE detection.
-
Annotated images and detailed reports – Bounding boxes
will appear around detected PPE, enabling you to quickly locate where they are within the
image. The annotated images are viewable directly from our platform, for the utmost convenience,
or you can download them for later viewing. The model also generates a detailed report that
lists each detection along with their confidence level for further analysis.
This model detects:
- People
- Head Gear (Type 1 and Type 2)
- Boots
- Gloves
- Full Body Harness
- Safety Vest (Class 2 and 3)
- Self-retracting Lifeline
- Anchorage Point
- Fall Limiter
Required Inputs
PNG files
JPEG files
Note: Oblique to level camera angles are required.
Expected Output
Annotated images
A summary report in XLSX format