 M73 Vaxtor Container |  NEO ANPR Gate Solution |  Container Profiler - LiDAR |
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Custom Software Development
ANPR Camera Management Applications
Network Imaging Solutions specialize in the development of both gate based and highway ANPR applications which provide users with real-time monitoring and control of both Mobotix and Tattile Automatic Number Plate Recognition (ANPR) camera systems across multiple locations from a single mobile app or web interface.
The application can also display the operational status of all connected ANPR cameras enabling users to quickly identify online, offline, faulted, or maintenance state devices. Site dashboards can provide visibility of vehicle access activity, gate status and system health.
Administrators can manage vehicle access permissions through configurable Allow and Block Lists. Vehicles on the Allow List can be automatically granted access according to site rules, while vehicles on the Block List can be denied entry and generate alerts.
The application can support both normally-closed and normally-open gate configurations. At secure sites where gates are normally closed, approved vehicles can trigger automatic gate opening following successful number plate recognition. At sites where gates are normally open, the system can monitor vehicle movements, log events, and optionally initiate gate closure and alerts based on access policies.
ANPR solutions can also integrate with third-party booking and reservation systems to automate vehicle access management. Booking information can be synchronized with the ANPR platform, allowing approved vehicle registrations associated with valid bookings to automatically be added to site access lists for the duration of the reservation. The integration reduces manual administration and ensures that vehicle access policies remain aligned with booking status and schedules.
In addition to autonomous operation, authorized users can manually control gates directly from the mobile application. Remote commands allow gates to be opened, closed, locked open, or returned to automatic operation.
These solutions enable efficient management of vehicle access control systems while improving security and operational visibility across distributed sites.
When cameras are installed on highways and motorways vehicle movements can be logged and the data transferred to third party systems for traffic movement analysis. The movement data is used to support highway operations, traffic planning, and transportation management. By capturing vehicle registration plates at multiple locations along a road network the system can generate detailed insights into travel patterns and road network performance in near real time.
The cameras record vehicle identifiers, time stamps, lane information and location data as vehicles pass monitoring points. By correlating detections from multiple cameras, the system can determine vehicle journey times, average travel speeds, route selections, and traffic flow patterns. By leveraging data collected from highway based ANPR solutions highway operators can gain a comprehensive understanding of traffic behaviour across the network.
Container Code Recognition System
Network Imaging Solutions specializes in the development of applications involving OCR capture of container codes. One system uses gantry mounted Mobotix cameras equipped with the integrated Vaxtor Container Code application to automatically identify and record shipping container identification numbers as vehicles pass through dedicated entry and exit points.
Mounted on a fixed gantry structure, the Mobotix cameras capture high resolution images of container sides, top and ends, enabling reliable reading of ISO6346 container codes under varying lighting and weather conditions. The embedded Vaxtor application processes directly on the camera, extracting container numbers, owner codes and serial numbers in real time without requiring a dedicated external processing server.
An integrated LiDAR sensor continuously monitors the inspection zone, detecting the presence, position, direction of travel and speed of vehicles passing beneath the gantry. LiDAR generated spatial data enables precise vehicle tracking and provides accurate trigger events for image capture, ensuring optimal timing for container code recognition and damage assessment. The LiDAR system also helps distinguish between vehicles, containers, trailers and other objects within the monitored area, improving overall accuracy and reliability.
Recognized container codes are transmitted to the central management platform where they can be matched against transport management and booking systems. The solution provides automated verification of container movements, reduced manual data entry and improving the accuracy of logistic and security processes.
In addition to container identification, the platform can utilize machine learning and computer vision technologies to analyse captured images for evidence of container damage. Trained models assess container surfaces and structural components to identify, classify, and record defects such as dents, impact damage, corrosion, holes, graffiti and other visible anomalies. Detected damage can be categorized by type, severity, and location on the container, providing operators with actionable information before containers leave a facility.
The machine learning component provides integrated condition assessment at scale, reducing reliance on manual inspections while improving consistency and reporting accuracy. Damage records can be linked directly to the recognized container code, creating a complete digital record of container identity, condition, movement history and supporting imagery.
The system generates a complete audit trail of container movements, including container identifiers, timestamps, camera location, confidence scores, and associated images. Alerts can be generated when unregistered, unexpected, or blocked containers are detected.
The solution delivers a highly automated method of tracking container movements, improving operational efficiency, security, and data accuracy while providing real-time visibility of container activity across freight terminals, distribution centres and logistics facilities.
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