Emergency Exit Blockage Reduction For Shan Foods

Enhancing Safety by Reducing Emergency Exit Blockages at Shan Foods

Shan Foods, a trusted name in the culinary industry, is renowned for its commitment to quality and safety in its products and operations.

Reduction In Safety Incidents

0 %

Overall Compliance

0 %

About Shan Foods

Shan Foods, a trusted name in the culinary industry, is renowned for its commitment to quality and safety in its products and operations. As a leader in delivering authentic flavors to millions of households worldwide, the company prioritizes maintaining the highest safety standards across its manufacturing facilities. One critical area of focus was ensuring that emergency exits remained accessible at all times. Blocked emergency exits posed a significant risk to employee safety, compliance with regulations, and the overall efficiency of the factory’s operations.

To address these challenges, Shan Foods collaborated with The Disrupt Labs to implement an innovative AI-powered Emergency Exit Monitoring System. This system was designed to detect real-time blockages, send instant alerts to supervisors, and provide actionable data to improve safety processes. The collaboration not only enhanced workplace safety but also helped Shan Foods strengthen its commitment to creating a secure environment for its workforce.

The Challenge

Emergency exit accessibility is crucial in any manufacturing facility, especially in a fast-paced environment like

01.

Blocked Emergency Exit

High-paced operations often resulted in emergency exits being obstructed by equipment, storage items, or misplaced materials, creating serious safety hazards.

02.

Inefficient Manual Checks

Traditional manual monitoring methods were time-consuming and unreliable, leading to delays in identifying and clearing blockages.

03.

Increased Evacuation Risks

Blocked exits are a significant challenge during emergencies, potentially delaying evacuations and putting employee safety at risk.

“The AI-based PPE Monitoring System from The Disrupt Labs has transformed our approach to workplace safety. Automating PPE monitoring has minimized human error, brought compliance levels to over 95%, and saved us countless hours previously spent on manual tracking. The system’s intuitive dashboard and automated reporting allow our management team to make informed, data-driven decisions, significantly boosting both safety and operational efficiency. It has truly set a new benchmark for safety at our facility.”

M/S Axens

Representative

The Solution

To address these challenges, The Disrupt Labs implemented an AI-powered Emergency Exit Monitoring System designed to ensure continuous accessibility and compliance.

Real-Time Monitoring

AI models integrated with CCTV cameras were used to continuously track emergency exits for obstructions caused by equipment, boxes, or unauthorized personnel. When an object was detected, the area it occupied was calculated by the system. If the object covered more than 30% of the pathway, a timer was triggered to monitor how long the obstruction remained. This process ensured that blockages were identified and monitored for timely resolution, enhancing overall safety and compliance.

Automated Alerts

Real-time notifications were sent to supervisors via email whenever blockages were detected. These alerts included the exact location and severity of the blockage to enable immediate action.

Data-Driven Insights

The system generated detailed reports on blockage frequency and response times, helping Shan Foods take proactive steps to prevent future incidents.

The Outcome

The implementation of the Emergency Exit Monitoring System brought significant safety improvements to Shan Foods:

Improved Workplace Safety

Blockages were cleared within an average of 30 minutes, reducing safety risks for employees.

Reduced Safety Incidents

Achieved a 70% decrease in safety incidents related to blocked emergency exits, ensuring a safer environment.

Proactive Safety Culture

Real-time alerts empowered supervisors to address blockages immediately, preventing escalation and promoting safety awareness.

Conclusion

The AI-powered Emergency Exit Monitoring System has greatly improved workplace safety at Shan Foods by ensuring emergency exits remain clear and accessible. With real-time alerts and accurate monitoring, the system has helped reduce the risk of delays during evacuations and improved compliance with safety regulations. By detecting and tracking obstructions quickly, Shan Foods can address issues proactively, creating a safer environment for employees.

The system’s ability to provide detailed reports and insights has also helped the company identify and resolve recurring problems, strengthening their safety protocols over time. This innovative solution reflects Shan Foods’ dedication to maintaining high safety standards. The success of this project shows how advanced AI safety solutions can make industrial workplaces safer and more efficient

Enhancing Safety by Reducing Emergency Exit Blockages at Shan Foods

About Shan Foods

The Challenge