Docker Vision's computer vision platform automates container identification, vehicle verification, and gate operations — with 98% accuracy using your existing CCTV cameras. No new hardware. No disruption.
See Docker Vision in action at your terminal
Trusted Across Global Ports & Terminals
Gulftainer
Container Ports & Terminals
Rail Freight Hubs
CFS / ICD Facilities
The Problem
Manual container and vehicle verification takes 5–7 minutes per truck, leading to severe peak-hour congestion and extended waiting times.
Paper-based and manually updated records increase processing time and the risk of human errors — with no reliable audit trail for dispute resolution.
Prolonged truck idling during verification increases fuel usage and carbon emissions at every gate and rail interface.
Congested gates and unmanaged vehicle movement elevate the risk of accidents and unsafe working conditions for yard personnel.
Manual processes make it difficult to maintain audit trails, reporting accuracy, and compliance with evolving environmental and regulatory standards.
Slow verification reduces gate throughput and overall terminal productivity, impacting revenue and customer satisfaction.
How It Works
Works with your existing standard CCTV — no new hardware investment required. Edge-deployable for low-connectivity port environments.
Real-time OCR reads container numbers, ISO codes, license plates, IMDG hazard labels, and seal integrity — reliably in dust, poor lighting, and motion blur.
Verified data is instantly pushed to your existing TOS, VBS, ERP, or weighbridge via API — no manual re-entry, no delays.
Every transaction is image-backed and timestamped — supporting damage dispute resolution, ESG compliance reporting, and regulatory adherence.
Our Solutions
Automate entry and exit gate verification. Read container numbers, vehicle plates, seal status, and damage — reducing gate time from 5–7 minutes to approximately 20–30 seconds per truck.
Automatically identify wagon numbers and container loads at rail terminals. Eliminate manual walk-bys and paper manifests entirely.
Real-time container identification at Ship-to-Shore (STS) cranes — improving load accuracy, reducing misplacement, and speeding vessel turnaround.
Automated container tracking across rubber-tyred and rail-mounted gantry cranes for accurate yard management.
Automatic Number Plate Recognition for all trucks and vehicles. Verify booking status instantly and flag unauthorized vehicles at entry and exit.
AI-powered extraction from shipping documents, bills of lading, and customs forms — eliminating manual data entry at every touchpoint.
Automatic bag counting, cargo identification, and visual surveillance for CFS, ICD, and warehouse facilities.
Why Docker Vision
Works with standard existing CCTV — avoiding expensive infrastructure upgrades entirely. Retrofit-friendly for any terminal setup.
Fully operational in low-connectivity port environments. No cloud dependency for real-time decisions — processes data at the edge.
Detects container anomalies, structural damage, and seal tampering — not just character recognition. A capability most OCR vendors simply don't offer.
Engineered to handle poor lighting, dust, and motion blur — conditions standard in active port, terminal, and rail environments.
Native API connectivity to existing Terminal Operating Systems (TOS), Vehicle Booking Systems (VBS), and ERP platforms.
All data is processed locally within port infrastructure — ensuring high security, low latency, and compliance with enterprise standards.
Who We Serve
High cargo and container movement facilities handling containerized operations with existing TOS and ERP systems.
Container Freight Stations and Inland Container Depots requiring automated cargo identification and documentation.
Rail hubs needing automated wagon and container identification across freight corridors and intermodal operations.
Warehouse complexes and logistics parks with heavy reliance on manual data entry and verification seeking faster turnaround.
Book a personalized demo. Our team will show you exactly how Docker Vision integrates with your existing setup — and the operational improvements you can expect from day one.
No commitment required. We'll follow up within 24 hours.
