30.09.25 (inclusive)

The fee

Finished product

ICT tasks

Railway industry

Technologies in transport and logistics

Software/ IS

Control of the number of operations: The equipment on the machinery (cranes, reach stackers) monitors the condition of the spreader locks and sensors. The data is transferred to a server on the Internet/cloud. Reports: by date, car, time, number of operations; mailing by email/messengers. Container number recognition: Multilayer convolutional neural networks (trained on real datasets). 95% accuracy (optical range, without beacons). In 5% of cases, manual adjustments are made via the app or the dispatcher. It takes into account vibrations, viewing angles, and unstable communication. GNSS container positioning: Accuracy <15 cm for the equipment. Defines the coordinates of loading/unloading, the height in the stack. Stores the location data of all containers. It does not require markings or markers, regardless of the operator. Driver's application: Number adjustment, container search, receipt/confirmation of applications (when integrated with the customer's IP). Integration into existing apps is possible. Intelligent Machinist's Assistant (under development): Automatic detection of crane/reach stacker operation plans. Uses data about movements and planned shipments. Draws up a roadmap, displays tasks on a tablet, and corrects for errors. Optimizes routes with ML. Objectives: to reduce downtime, increase productivity, reduce costs, ensure safety, and minimize the human factor.

Increased productivity: Faster container search by operators and dispatchers. Collection and analysis of statistics: For optimization at the managerial level. Increased transparency: Reliable automated accounting of transactions. Document management automation: Reducing the time required to collect data for accounting systems.

Taimyr