completely automate your railway operations

Freight Container Number Recognition System based in AI

supplai’s AI-based Freight Container Number Recognition System is an intuitive, state-of-the-art system developed for the automatic AI optical recognition of UIC freight container labels and numbers. Our highly efficient AI-based Freight Container Number recognition System - which can be embedded in all types of railway vehicles such as Freight trains, Locomotives, Boxcars etc. - supports the optical recognition of various UIC numbers and labels owing to its advanced camera and cutting-edge illumination technology.

read and detect every written text and image on trains

Our Freight Container Number Recognition system – which is deeply rooted in AI – allows for easy installation at any given intermodal infrastructure such as terminals and depots. Our AI-based Freight Container Number Recognition technology records data in real time to increase workflow and enhance throughput. As opposed to traditional Freight number identification systems, our AI-based Freight Container Number Recognition System is software based. This means less hardware investment.

Equipped with Font-Independent AI OCR technology, supplai’s AI-based Freight Container Number Recognition system supports various number types and labels and performs an automatic capture of the following data:

  • UIC numbers
  • Box-container and ISO tank container numbers
  • ISO Codes
  • GEVI/ UN numbers
  • ADR labels
  • Matching GEVI with ADR label system
Wagon analysis model by supplai

Our AI-based Freight Container Recognition Systems also detect and provide the following data :

  • Grid shape and weight
  • Tare weight
  • Chassis number check
  • Refilling date and information
  • Periodic vehicle inspection data
  • Cargo information
  • Wagon length
enhance the speed of every operational process

supplai’s AI-based Freight Container Number recognition technology enhances the speed of every operational process and saves time as well as the cost of excessive man-power. As opposed to other traditional Freight Container Number recognition models, our AI-based Freight Container Number Recognition model improves the ROI time significantly and enhances train operations, stops and shunting without slowing down any operational processes whatsoever.  

supplai’s AI-based Freight Container Number Integration software which offers full integration with various gate, ERP and TOS systems also features its own cloud dashboard. This ensures easy transparent digital interchange retrieval from various angles and metadata analytics. supplai’s AI-based Freight Container Number recognition software achieves the highest accuracy in the market. Through the use of ‘re-enforced learning”, our AI-based Freight Container Number Recognition improves on set command over a specific period of time. supplai’s AI-based Freight Container Number Recognition Model’s predictive maintenance uses Deep Learning to learn from historical data

rail ocr

By utilizing a multi-layered structure of algorithms, supplai’s AI-based Freight Container Recognition model is able to detect even the most diminutive and obscure fonts and images which may appear regularly or occasionally. It also uses real-time data to analyze future patterns. Our AI based Freight Container Number Recognition models offer transparency while running its course. This way, you as a user, get to see the status of your equipment at any given time or place and all this without any hassle. Our AI-based Freight Container Number Recognition model offers swift and concise data efficiently, effectively and effortlessly. Our coherent AI-based digital brains help you offload yours. This way, you can always be well assured of the best quality AI-based service for all your AI wants and needs.

features
  • Our AI-based Freight Container Number recognition model features a cutting-edge optical recognition software which records and transmits data in real-time.
  • Our AI-based Freight Container Recognition technology supports all train lengths and Freight vehicles ranging from Freight trains to boxcars.
  • supplai’s AI-based Freight Container Number Recognition technology features a ‘Font-Independent OCR’ which is able to decipher codes and labels on freight containers, cars, wagons and rail vehicles. It is also able to recognize low-contrast, stenciled and inconsistently written codes or identification numbers.
  • Our AI-based Freight Container Number Recognition technology is compatible with various Operating Systems. 
  • supplai’s AI-based Freight Container Number Recognition Model integrates seamlessly with various rail, ERP and TOS systems. This ensures easy and transparent digital interchange retrieval from various angles and metadata analytics.
  • Our AI-based Freight Container Number recognition system is equipped with a ‘Low-consumption’ and technologically advanced Solid-state LED lighting to provide unparalleled image quality – alternatief is dat het werkt in ultra low light omstandigheden.. 
  • Our AI-based Freight Container Number Recognition models are equipped with a ‘Plug and Play’ feature; they are easy to set up and work perfectly when first connected, without much modification or reconfiguration. However, our AI-based Freight Container Recognition models can be fully reconfigured to suit your needs.
benefits
  • supplai’s AI-based Freight Container Number Recognition technology is easy to set-up, reliable, flexible and fully convenient. Our AI-based Freight Container Recognition models are rooted in Deep Learning unlike other models which are rooted in much older technology such as photo-stitching. Our solutions require much less hardware investment than traditional gate systems.
  • Our AI-based Freight Container Number Recognition technology guarantees full automation of all rail terminal and depot operational processes.
  • supplai’s AI-based Freight Container Number Recognition technology reads and detects IMDG codes. Our Freight Container Number Recognition technology automatically matches ADR labels with UN/GEVI numbers.
  • Our AI-based Freight Container Number Recognition boosts productivity, enhances accuracy, lowers cost by reducing man-power. It streamlines procedures by detecting and scanning numbers, labels and tags. Traditional wagon number recognition systems make use of manual labour to identify railway vehicles. The automation of this process speeds operations and diminishes errors which otherwise may be recorded manually. 
  • supplai’s AI-based Freight Container Number Recognition systems are updated frequently to combat software vulnerabilities and improve existing functionality.
  • All our systems are designed to accommodate the needs of the clients.
  • By detecting the specific primary and subsidiary hazards posed by the materials in a dangerous goods package, supplai’s AI-based Freight Container Number Recognition technology reduces the risk of accidents and dangerous situations.

 

 

 

Our AI-based Freight Container Number Recognition solutions can be used at all railway and intermodal infrastructures such as train depots and stations, locomotive sheds, marshaling yards, classification yards, shunting yards, train filling stations, etc. Our AI-based Freight Container Recognition models support all classes of railway vehicles, ranging from Freight Cars to Multiple-Units. 

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