The Customer Challenge

A United States city turned to intuVision for an automated way to track trucks exiting their mine and reclamation area. Manual monitoring was unreliable, with inconsistent records and missed departure times.

intuVision delivered a custom version of its intuVision VA Text Detection system, designed to recognize only specific truck ID codes while ignoring other markings. Each detection generates a searchable event with a timestamp and snapshot, which can be easily reviewed or exported for reporting and compliance.

About intuVision VA Text Detection

intuVision VA Text Detection accurately detects text on both moving and stationary objects, with flexible configuration options to identify numbers, letters, or alphanumeric combinations. The system can be further customized to match specific formats - such as codes containing only four digits - ensuring highly targeted detection. It also integrates seamlessly with other intuVision VA modules, allowing users to capture and log text information (e.g., truck numbers) when predefined rules are broken, such as unauthorized access or speeding violations.

Benefits

• Detect text on moving or stationary objects
• Tie in with comprehensive list of video analytics event rules and triggers
• Text events are searchable and can be exported or emailed

Use Case Details

Challenge

The city needed a reliable and automated way to monitor and log trucks exiting their mine and reclamation area. The goal was to track truck visits, ensure compliance with operational regulations, and maintain accurate records of truck activity—without relying on manual entry or human observation. A key requirement was the ability to identify specific trucks by their unique ID codes while ignoring other irrelevant text or markings on the vehicles.

Solution

The city needed a reliable and automated way to monitor and log trucks exiting their mine and reclamation Area. The goal was to track truck visits, ensure compliance with operational regulations, and maintain accurate records of truck activity—without relying on manual entry or human observation. A key requirement was the ability to identify specific trucks by their unique ID codes while ignoring other irrelevant text or markings on the vehicles.

To meet the city's unique operational needs, intuVision VA was custom-configured to filter detections based on predefined criteria. The system was programmed to recognize only the specific number formats assigned to registered trucks, effectively ignoring all other codes or text present on the vehicles. This reduced false detections and ensured clean, relevant data output.

Results

• Automated truck logging with accurate time and image records
• Elimination of manual tracking, reducing labor and potential for error
• Custom ID filtering to focus only on relevant trucks
• Improved compliance and oversight of mine operations

With intuVision VA, the city now benefits from an intelligent, efficient, and scalable solution for vehicle monitoring at their mine. The system enhances accountability and streamlines reporting, all while reducing operational costs.

You can contact us at info@intuvisiontech.com or call to learn more about how intuVision VA and find out how it could fit into your work flow needs.