Multifunctional high-accuracy solution for recognition of personal protective equipment, clothing and accessories
This algorithm analyzes an image, detects people in it and gives its verdict of whether each detected person wears.
To be verified, the person would need to wear head protection correctly, on their head, as opposed to being held in hands.
Before confirmation, the algorithm will make sure that eye protection is put on properly, rather than being hooked on a piece of clothing.
The vest can not be held or thrown over the shoulder. There is also an optional parameter to require the vest to be buttoned-up.
Try this solution out right now or use telegram version of the demo.
Select one of the pictures below or upload your own image.
We have found 3 people in all images. 3 of them are in helmets, 3 in protective glasses and 3 of them are in safety vests.
Protective Equipment Recognition from CVisionLab is born from the best machine learning practices, thorough testing and mature integration processes.
The service is developed, tested and ready to go.
This is a completely cloud-based solution which provides high reliability and uptime.
The solution is a must-have for quick verification of employees working under hazardous conditions.
Resilient to lighting conditions, rotation, small distortions.
Depending on the industry and working environments, there may be a number of requirements that the employees must comply with. Quick and accurate checks and monitoring of such protective measures will ensure the safety of the company’s employees and environment.
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