Customer
One of Japan’s leading steel manufacturing plants.
Project Details
- Duration: 1 Month +
Technologies:
- Deep Learning
- OpenCV
- Python
- PyQt
- Edge Computing devices
- SQLlite
One of Japan’s leading steel manufacturing plants.
Technologies:
Accuracy
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Fuel is one of the largest recurring expenses in container yard operations, yet it is often treated as a fixed cost rather than a controllable variable. Most operators focus on throughput, turnaround time, and capacity utilization, but overlook how daily inefficiencies quietly inflate fuel consumption. The truth is straightforward: fuel costs are rarely high because […]
CEO & Co-founder
How to Speed Up Yard Operations In any container yard, time behaves like currency. Every minute a truck waits at the gate, every container that sits idle without clear movement, quietly adds to operational cost. Yet, many yards continue to function with fragmented visibility, delayed coordination, and reactive decision-making. The result is predictable: longer turnaround […]
CEO & Co-founder
6:10 AM. The first truck entered the yard. The driver is in a hurry. The queue behind him is already being built. At the gate, a few seconds decide everything. A number is read. A seal is “assumed” to be intact. A quick look confirms “no visible damage.” The barrier lifts. Everything seems normal. Until […]
CEO & Co-founder
