Metrici Weighing Installations

Detection Engines and their roles

Using technologies like License Plate Recognition (LPR), Line Counter, Area Counter, Parking Place Detector and deep neural network (DNN) training in industrial weighing applications offers a highly automated and efficient solution for managing trucks and cars at production sites, deposits, ballast pits or other installations

LPR, access and event build

Role

Automatically identifies vehicles entering or leaving the site by reading their license plates.

Application

LPR detects vehicles at the entry or exit points and logs data, linking it to the vehicle’s weight and other operational details.

When a vehicle occupies a virtual parking spot, a LPR trigger can identify it and associate the vehicle's license plate with the weighing system to ensure accurate data mapping.

Automates access control by cross-referencing plate numbers with an authorized database.

Line & Area Counter-Count and track

Role

Monitors vehicle movement by counting entries and exits or determining the number of vehicles in a specific area. Any oh them can trigger other detection engines

Event-Based Triggers

Tracks the flow of vehicles to and from weighbridges or loading/unloading zones, ensuring no bottlenecks occur.

Counts the number of vehicles in a loading bay or holding area and triggers actions (e.g., signaling when a zone is full, start detection or give directions).

Optimizes resource allocation and planning based on vehicle throughput.

Parking Place Detector - Occupancy accountant

Role

Detects the occupancy status of designated parking spaces, either physical or virtual, using cameras. Always in alert in search for cars that occupy parking spots to trigger other events. Also can monitor loading bays to see when busy or available.

Application

Virtual parking spot detection can trigger specific actions such as LPR scanning or vehicle weighing.

Ensures that vehicles are correctly positioned before weighing or loading, minimizing errors.

Improves operational flow by guiding vehicles to available spots/stations and avoiding congestion.

Deep Neural Network (DNN) Training - Constant Improvement

Role:

Enhances the accuracy of LPR, parking detection, and vehicle classification systems through AI-powered models. Also it can be trained to recognize different objects, cargo load or others

Application:

Metrici recognizes specific vehicle types (trucks, cars, loaders etc.) and one may associate their category with predefined processes (e.g., different weight limits or routes).

Improved recognition in challenging conditions such as poor lighting, dirt-covered plates, or heavy weather.

Reduces false positives/negatives in vehicle detection and ensures reliable automation.

Use dnn training to recognize different elements (dangerous or forbidden) in a truck bin: for example: fire extinguisher, tires, gas tanks etc.

Workflow Example: Automated Weighing System Integration

1. Vehicle Arrival

The vehicle enters the site and is detected by an Metrici LPR system at the gate. The license plate is logged into the system and cross-verified against a database of authorized vehicles.

2. Parking Spot Detection

A Parking Place Detection engine or Area Counter identifies when the vehicle enters a designated virtual parking spot near or on the weighbridge.

The system triggers an LPR recheck and aligns this data with the weighing process.

3. Weighing Process

Once the vehicle is in position, the weight is table, a controller is activated and Metrici reads the info.

The read license plate, weight data, and timestamps are stored together in the database or sent to third parties for tracking and billing.

The system checks if the vehicle meets safety standards and weight limits before proceeding to the next stage.

4. Post-Weighing Action

The vehicle proceeds to the loading/unloading zone. LED Displays can guide the driver to the right position

After completing its task, it passes through an LPR exit point, where the system confirms the vehicle has left the site.

Triggers Between Systems

Parking Detector→ LPR :

A vehicle occupying a virtual spot triggers the LPR system for validation.

Area Counter→ Weighing Sensor:

Ensures the vehicle is correctly positioned and stable before activating the weighbridge and reading the weight and plate.

Area Counter → Workflow Adjustments

Real-time vehicle counts adjust the entry flow

DNN Training → Improved Operations

Enhances detection accuracy for seamless operations in noisy, variable industrial environments.

Benefits of Integration

Automation: Reduces the need for manual intervention and eliminates human error.

Efficiency: Speeds up processes like entry, weighing, loading/unloading, and exit.

Data Accuracy: Links vehicle details with weight, time, and operational records for precise reporting.

Safety: Monitors vehicle movements to prevent overloading and manage traffic on-site.

Cost Savings: Optimizes resource utilization and reduces downtime through better planning.

By combining these technologies, industrial sites can achieve a fully automated and highly efficient vehicle management system tailored to their specific needs.