A machine learning model was built so that accurately detects hands and checks glove use, making it easy to integrate into everyday operations across different industries. It works well in many places, such as offices, schools, hospitals, and even risky work sites.
About Client
A company looking for a dependable way to ensure hand hygiene during pandemics and in everyday operations.
Challenge
There is a need for a system that monitors hand safety rules, especially glove usage in healthcare, food service, and construction, to help keep people safe and prevent issues.
Our Solution to Get their Desired Results
Meet the Hand Safety Monitoring System. It uses AI and machine learning to automatically check glove use.
Hygiene Practices
Offers a robust solution for maintaining high standards of hygiene across various sectors.
Increased Compliance
Automated monitoring and alerts significantly improve adherence to safety protocols.
Compilation of the Dataset
Developed a robust dataset for hand detection and glove recognition, forming the foundation of the AI model.
What it can do
Live Feed Analysis
It uses video feeds from connected cameras to track hand safety compliance.
Visual Compliance Indicators
Uses coloured rectangles to visually indicate people’s glove status.
Alert System
It instantly alerts management when someone isn’t following the rules, so they can fix the issue right away.
Got an idea for your product?
We will build it for you from scratch and share the structured documentation to help you keep your system in top shape.