Enforcing the use of protective gear (helmets) in hazardous environments demanded a reliable system to detect non-compliance in real time.
Rapid identification of individuals not wearing helmets was crucial to reducing accidents, worker injuries, and potential liabilities.
Environments with high foot traffic or changing conditions required intelligent solutions that could adapt quickly and maintain high detection accuracy.
A seamless fit into current monitoring workflows ensured minimal disruption and immediate benefits, enabling proactive safety management.
Applaudo partnered with the construction company to build a cutting-edge AI solution using YOLO-based (You Only Look Once) object detection and cloud-native architectures. The system streamed live video feeds, rapidly identified non-compliant workers not wearing helmets, and triggered real-time alerts. Continuous model training, feedback loops, and performance optimization ensured persistent accuracy even in complex environments.
Integrated seamlessly with existing safety protocols and reporting tools, the solution empowered managers to intervene promptly, promoting a culture of proactive safety awareness, reducing incident rates, and improving operational peace of mind.
Achieved accurate, real-time helmet detection and immediate alerts, enabling prompt action and reinforcing protective equipment adherence.
Provided proactive identification of non-compliant workers lowered the likelihood of injuries, decreasing downtime, liability, and associated costs.
Leveraged cloud infrastructure and automated updates, ensuring sustained accuracy and easy adaptation to evolving site conditions.
Security Supervisor
Construction Company