When production peaks, forklifts become the most active — and potentially the most dangerous — machines inside a plant. Crowded aisles, quiet electric vehicles, and frequent blind spots make collisions more likely. To stay ahead of risk, a leading Asian yeast manufacturer chose to upgrade from “manual vigilance” to Forklift Autonomous Safety powered by AI.
Customer background
Founded in the 1980s, the company operates multiple large facilities and relies on a fleet of loaders and forklifts to move raw materials, semi-finished goods, and finished products. One site alone runs more than twenty forklifts daily — often in tight spaces with heavy foot traffic.

The challenge
Even with licensed operators and routine training, near-misses still occurred: pedestrians stepped into blind corners, drivers struggled to see around tall loads, and distractions occasionally created risk. Managers wanted a technology layer that could actively prevent accidents — not just record them afterward.
The solution: WTSAFE Forklift Autonomous Safety
The plant deployed the WTSAFE AI forklift collision-avoidance system, bringing autonomous safeguards to daily operations:

Driver monitoring (DMS) to identify violations such as phone use, smoking, drowsiness, or not wearing a seat belt — warning the driver in real time.


What changed
Drivers report greater confidence when maneuvering in busy loading areas, and supervisors can address unsafe behavior before it becomes an incident. Safety teams say the system has shifted operations toward proactive prevention — a core principle of Forklift Autonomous Safety.

Takeaway
For facilities where people and forklifts constantly interact, AI-enabled autonomy is no longer a “nice to have.” WTSAFE shows how Forklift Autonomous Safety can help protect workers, improve accountability, and keep production moving — safely.
