Express Delivery and Logistics

Background and Challenges

Core contradiction: The imbalance between the “fast turnover” characteristic of the logistics industry and the “strong safety” requirement. Traditional manual supervision cannot simultaneously cover the three dimensions of compliance (operational norms) + equipment safety (operating status) + regional protection (intrusion control). This has led to a continuous increase in risks of cargo damage, fines, and production suspension.

Uncontrolled high-risk operation behaviors
Overcoming the conveyor belt: Personnel cross the running conveyor equipment without permission to save time, which may lead to mechanical entanglement and injury accidents;
Throwing packages: Rough sorting causes damage to fragile items and failure of electronic products, with an annual cargo loss rate as high as 5%-8%;
Lack of protection: Operators do not wear gloves or reflective clothing, increasing the risk of work-related injuries.

Failure to monitor key equipment operation
Package accumulation and blockage on the conveyor belt: Unnoticed accumulated packages may be crushed and damaged by the machinery, even triggering overheating and fire of the equipment;
Illegal fire operations: Smoking and welding operations in the warehouse lack real-time monitoring, with prominent fire hazards.

Blind areas in overall security
Illegal intrusions at the perimeter/warehousing area: Frequent incidents of goods theft;
Accidental entrapment of personnel on the conveyor belt: Non-operational personnel staying leads to accidents;
Sudden workplace injuries: Personnel falling in the loading and unloading area without immediate alarm, delaying rescue.

Delayed emergency response
Lack of automatic sensing capabilities for emergency situations such as personnel falling or sudden workplace injuries, resulting in escalation of the situation.

  1. Uncontrolled high-risk operation behaviors
    Overcoming the conveyor belt: Personnel cross the running conveyor equipment without permission to save time, which may lead to mechanical entanglement and injury accidents;
    Throwing packages: Rough sorting causes damage to fragile items and failure of electronic products, with an annual cargo loss rate as high as 5%-8%;
    Lack of protection: Operators do not wear gloves or reflective clothing, increasing the risk of work-related injuries.
  2. Failure to monitor key equipment operation
    Package accumulation and blockage on the conveyor belt: Unnoticed accumulated packages may be crushed and damaged by the machinery, even triggering overheating and fire of the equipment;
    Illegal fire operations: Smoking and welding operations in the warehouse lack real-time monitoring, with prominent fire hazards.
  3. Blind areas in overall security
    Illegal intrusions at the perimeter/warehousing area: Frequent incidents of goods theft;
    Accidental entrapment of personnel on the conveyor belt: Non-operational personnel staying leads to accidents;
    Sudden workplace injuries: Personnel falling in the loading and unloading area without immediate alarm, delaying rescue.
  4. Delayed emergency response
    Lack of automatic sensing capabilities for emergency situations such as personnel falling or sudden workplace injuries, resulting in escalation of the situation.

In an efficient logistics system, the safety of the park and the compliance of operations are directly related to the safety of goods, personnel protection, and timely fulfillment of contracts. However, the traditional management model relying on manual inspections and passive monitoring is facing severe challenges:

Solution

Topological structure

AI Algorithm

Monitoring Screenshot

The monitoring system detected the packages located on the conveyor belt and the operation console beside it.

The monitoring system detected that a staff member was operating in violation of regulations: crossing the conveyor belt.

Result

This case covers multiple application scenarios, including security and intrusion detection, workplace compliance inspection, human flow and behavior analysis, etc. Through algorithms such as target detection, behavior recognition, and anomaly recognition, it realizes functions such as supervision of job violations, analysis of dangerous behaviors, and equipment operation monitoring, solving the problems of low efficiency and slow response of traditional manual inspections, and building an efficient and highly secure logistics industry monitoring system.

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