Customer Background
Midea Group is a leading home appliance manufacturer with large-scale production workshops, warehouse facilities, and busy factory logistics operations.
The company operates multiple forklifts across production lines, warehouse areas, and factory transportation routes to move large household appliances such as refrigerators, freezers, and packaged equipment. Due to the high frequency of material handling operations and continuous interaction between forklifts and workers, forklift safety management became an increasingly important challenge for the facility.

Inside the warehouse, goods are stacked densely and aisle space is limited, creating blind spots and increasing the risk of forklift-to-pedestrian or forklift-to-object collisions. In addition, forklift operators often need to reverse while carrying large loads because the forward view is partially blocked during transportation.
To improve workplace safety and strengthen forklift management, the customer began searching for an intelligent forklift pedestrian warning system capable of real-time pedestrian detection, blind spot monitoring, and collision prevention.

Safety Challenges in Daily Forklift Operations
Frequent Human and Forklift Interaction
Several forklifts operated continuously inside the warehouse and production areas, often requiring workers to assist with loading and material handling tasks. Frequent interaction between pedestrians and forklifts significantly increased accident risks.
Blind Spots During Material Transport
When transporting large appliances and palletized goods, forklift drivers experienced limited forward visibility. Operators frequently relied on reverse driving, which created additional blind spot hazards.
Busy Warehouse and Factory Environment
Workers moved constantly through warehouse aisles, workshop entrances, and logistics routes. In high-traffic areas, pedestrians could easily enter forklift operating zones without being noticed in time.
Unsafe Driving Behavior
During peak production periods, some forklift operators drove at higher speeds to improve efficiency, increasing the possibility of sudden collisions or emergency braking incidents.
Lack of Real-Time Monitoring
The company also needed a more effective forklift safety management system capable of monitoring driving behavior and improving accident traceability for internal safety management.

WTSAFE Forklift Pedestrian Warning System Solution
To solve these safety challenges, the customer installed the WTSAFE forklift pedestrian warning system together with an AI-powered forklift safety management solution.
The system uses AI technology to monitor pedestrian movement around the forklift in real time. When workers or obstacles enter a predefined danger zone, the system automatically triggers audible and visual alarms to warn both the forklift operator and nearby pedestrians.
The solution also includes:
- AI pedestrian detection
- Real-time video monitoring
- Front and rear camera display
- Blind spot monitoring
- Audible and flashing warning alerts
- Optional forklift speed control functions
- Driving behavior monitoring
The integrated display screen allows operators to clearly observe surrounding conditions during forward and reverse driving, significantly reducing blind spot risks inside narrow warehouse aisles and busy factory environments.
For facilities seeking a more comprehensive warehouse safety solution, WTSAFE also provides a complete Forklift Collision Avoidance System designed to help reduce forklift-related accidents in industrial environments.
To further improve visibility around forklifts operating in tight warehouse spaces, the customer also showed strong interest in the AI Forklift Blind Spot Detection System, which helps drivers identify pedestrians and obstacles hidden in blind areas during operation.

Implementation Results
After deploying the forklift pedestrian warning system, the customer achieved noticeable improvements in workplace safety and forklift management efficiency.
The system helped:
- Reduce forklift blind spot risks
- Improve pedestrian awareness around forklifts
- Lower the frequency of near-miss incidents
- Enhance operator visibility during reverse driving
- Improve forklift driving behavior management
- Strengthen overall warehouse safety operations
The AI warning and monitoring functions provided both drivers and warehouse staff with better situational awareness during daily operations.
The customer also highly valued the system’s intelligent detection capabilities and practical performance in real production and warehouse environments. Following the successful initial deployment, the company expressed interest in expanding the solution to additional departments and forklift fleets in the future.

Why Forklift Pedestrian Warning Systems Matter in Manufacturing
Manufacturing and warehouse environments often involve:
- High forklift traffic
- Narrow aisles and blind corners
- Frequent human-vehicle interaction
- Continuous material handling operations
- Fast-paced production schedules
Traditional warning methods alone are often insufficient in these complex working conditions.
An intelligent forklift pedestrian warning system helps companies proactively identify safety risks before accidents happen. By combining AI detection, real-time monitoring, and automated alerts, factories can improve both operational efficiency and workplace safety.
As industrial safety standards continue to increase, AI-powered forklift safety systems are becoming an essential part of modern warehouse and manufacturing management.

Conclusion
This project demonstrates how an intelligent forklift pedestrian warning system can help manufacturing facilities reduce blind spot risks, improve pedestrian protection, and strengthen forklift safety management.
By integrating AI pedestrian detection, video monitoring, and real-time warning technology, WTSAFE helped the customer create a safer and more efficient working environment for both forklift operators and warehouse personnel.
For factories and warehouses seeking smarter forklift safety solutions, AI-based collision warning and pedestrian detection systems provide an effective and scalable approach to accident prevention.