When companies deploy autonomous forklifts, preventing overload accidents becomes a critical safety requirement.
Unlike manual forklifts, AGVs must automatically detect unsafe loading conditions without depending on a human operator.

Overloaded pallets can damage lifting systems, create unstable loads and increase the risk of warehouse accidents.
Hydraulic pressure sensors
Load cell weighing systems
Motor current monitoring
A properly designed autonomous forklift should stop lifting operations when the detected load exceeds the rated capacity.
Advanced AGV systems may combine weight detection, vision sensors and fork position monitoring to identify unstable pallet conditions.
Fleet management software can store safety events including vehicle ID, timestamp, load information and alarm history for internal audits.
Weight detection accuracy
Overload protection logic
Alarm functions
Safety data recording capability
Sensor calibration process
From real warehouse automation projects, the value of an AGV is not only its ability to move materials but also its ability to recognize unsafe situations and prevent accidents.
Future autonomous forklift systems will increasingly focus on predictive safety, intelligent decision-making and complete operational records.
For overseas customers, safety monitoring capability is becoming a key factor when selecting industrial automation partners from China.
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