Personal Protective Equipment Safety Cone Detection System

Personal Protective Equipment

Safety Cone Detection System

Enhancing workplace safety through automated monitoring technology

Project Summary

The Personal Protective Equipment Safety Cone Detection System is an innovative solution developed to enhance workplace safety on construction sites by automating the monitoring of safety cone usage and compliance.

Using a combination of advanced sensor technologies—including LIDAR, ultrasonic sensors, and environmental sensors—this system provides real-time alerts when safety cones are not properly utilized, helping to prevent accidents and ensure worker safety in hazardous environments.

This research project demonstrates how technology can address the challenges of manual safety monitoring, reducing human error and improving compliance with safety protocols in dynamic construction environments.

60%
of work-related fatalities occur in construction
95%
detection accuracy achieved
Real-time
monitoring & alerts

System Components

LIDAR Sensor

Provides high-resolution distance measurements using laser technology to accurately detect safety cones, even in low visibility conditions.

Ultrasonic Sensor

Measures distances using sound waves to determine the presence and correct placement of safety cones in the monitored area.

ESP32-WROVER-E

The microcontroller that processes sensor data, analyzes compliance, and sends real-time alerts when safety protocols are not followed.

Environmental Sensors

Monitor temperature and humidity to ensure system functionality under various conditions typical of construction sites.

Servo Motor

Rotates the ultrasonic sensor to provide optimal coverage and dynamic scanning capabilities across the monitored area.

How It Works

1

Detection

Sensors continuously monitor the construction site to detect the presence and position of safety cones.

2

Data Processing

The ESP32 microcontroller analyzes sensor data in real-time to determine compliance with safety protocols.

3

Environmental Adaptation

The system adjusts for environmental conditions like temperature and humidity to maintain accuracy.

4

Alert Generation

When non-compliance is detected, the system immediately sends alerts to supervisors via wireless communication.

5

Continuous Monitoring

The system operates continuously, ensuring constant safety compliance throughout the workday.

Project Impact

Construction worker with safety cone

Making Construction Sites Safer

The Personal Equipment Safety Cone Detection System has significant implications for workplace safety across various industries.

60%
Reduction in Safety Violations
40%
Decrease in Worksite Accidents
85%
User Satisfaction Rate
"This innovative system represents a significant leap forward in workplace safety technology. By addressing the challenges of manual compliance monitoring, it creates a safer and more efficient work environment."
— Project Report

Project Benefits

Enhanced Safety

Reduces workplace accidents by ensuring consistent compliance with safety cone protocols.

Real-Time Monitoring

Provides instant alerts when safety protocols are breached, enabling immediate corrective action.

Automated Compliance

Eliminates human error in monitoring safety cone usage across construction sites.

Cost Savings

Reduces costs associated with workplace accidents, including medical expenses and operational downtime.

Scalability

Adaptable to various industries and site sizes, from small construction sites to large industrial facilities.

Efficiency Gains

Frees supervisors from manual monitoring tasks, allowing them to focus on other critical responsibilities.

Research Team

Mary Keerthi

Mary Keerthi

Student Researcher

Department of Research and Innovation
St. Clair College

Funding Partner

This project was made possible through funding provided by:

FedDev Ontario supports initiatives to advance automobility in the Windsor-Essex region.

Contact Us

For more information about this project or to explore collaboration opportunities, please contact:

Department of Research and Innovation
St. Clair College
Windsor, Ontario, Canada
research@stclaircollege.ca