UIC & Container
Detect UIC wagon and container numbers in motion, track wagons across yards and corridors, and get real-time alerts when a specific wagon appears where it shouldn’t. IncoreSoft’s container number recognition system is built for 24/7 operations — tolerant to weather, speed, and changing lighting — so your rail operations and logistics teams can stop chasing paperwork and start acting on reliable data.
Key Features & Advantages
Up to 99% recognition accuracy
100+ countries license plates support and counting
Up to 250 km/hour vehicle speed for license plate recognition
- 01 Up to 99% recognition accuracy in calibrated installations
- 02 Reliable OCR reads at speed thanks to high-quality optics and tuned algorithms
- 03 Recognition in motion — read UIC and container numbers without stopping wagons or tank cars
- 04 Supports all wagon & container types: freight, passenger, locomotives, platforms, tank cars, and various container sizes/fonts
- 05 Flexible search & filtering by UIC number, timeframe, camera, or track
- 06 Business logic constructor — set rules like “If UIC X seen in Zone Y → alert Security/Dispatch”
- 07 Multiple video sources supported — IP cameras, DVR/VMS streams, and archive footage
- 08 Enterprise database compatibility: MySQL, PostgreSQL, MS SQL, Oracle
- 09 Import/export support for CSV, Excel, PDF, and JSON
- 10 Role-based access and audit trail for operators, admins, and auditors
Why UIC & Container Number Recognition Matters
Rail logistics is a chain — and one missing link (a mis-identified wagon or container) can delay the whole train. Container number recognition and wagon number recognition automate what used to be manual, slow, and error-prone:
- Reduce manual scanning at yards and terminals.
- Enable real-time rail wagon tracking and location alerts.
- Improve inventory accuracy for inbound/outbound containers.
- Speed customs, border, and operational checks.
How an Automated License Plate Recognition System Works
01
Capture: Cameras (fixed or portal-mounted) record wagon sides and container faces as trains pass. A short pilot to adjust mounting height and shutter speed reduces false reads significantly.
02
Pre-processing: Image enhancement (de-noise, WDR/HDR, perspective correction) prepares frames for OCR, handling motion blur and reflective surfaces.
03
OCR & Validation: Advanced OCR models (CNN/LSTM hybrids) detect UIC/container numbers, apply checksum validation, and normalize formats — reducing false positives by a large margin.
04
Indexing & Search: Recognized entries are indexed with timestamp, camera ID, and track/zone metadata. Operators can search easily and generate exportable reports.
05
Alerts & Integration: Real-time notifications, triggers, or API/webhook events integrate with downstream systems (TMS, WMS, VMS, dispatch).
Use Cases of UIC & Container Number Recognition System
Why Choose IncoreSoft for UIC & Container Recognition?
- Rail-focused expertise: built for wagon-level detail and container ID complexity.
- Proven performance: calibrated pilots and field-proven accuracy. Our team discovered through using this product that checksum validation and multi-frame voting make a big difference.
- Flexible integration: works with VMS, TMS, and standard SQL databases.
- Scalable architecture: edge, cloud, or hybrid depending on your needs.
- Trusted partner network: we collaborate with integrators to speed deployments and handle custom workflows.
IncoreSoft UIC & Container Module
Feature |
IncoreSoft UIC & Container |
|---|---|
|
Recognition accuracy (calibrated) |
Up to 99% |
|
In-motion reading |
Yes (high speed) |
|
Wagon/container types |
All major types & fonts |
|
Checksum & format validation |
Built-in UIC checks |
|
Search & archive filters |
Advanced (time/camera/zone) |
|
Integrations (VMS/TMS/DB) |
Native connectors + APIs |
|
Deployment |
Edge / Cloud / Hybrid |
FAQs
A container number recognition system automatically reads container or wagon identifiers (UIC numbers) from video or images, validates them, and indexes them for search and alerts.
Yes — with the right camera setup and tuning we support in-motion reads. As indicated by our tests, read rates depend on shutter speed, lens choice, and mounting angle.
Yes — we support a variety of wagon profiles, including rail track width wagons and different container face sizes; camera placement and OCR parameters are tuned per profile.
In calibrated deployments, we achieve up to 99% recognition accuracy. Our analysis of this product revealed that checksum validation and multi-frame voting improve effective accuracy.
Yes — the system supports archive search with time/camera/zone filters and exports to CSV/Excel/PDF/JSON.