Achieve Accurate Coal Sales Data via Object Detection

Based on Patent Research | CN-116720882-A (2023)

Inefficient coal supervision stems from inaccurate sales data, impacting resource management. Current methods lack the precision to accurately track and predict sales volume. Object detection, a computer vision task, can improve accuracy by identifying and tracking vehicles using license plate recognition as they enter and exit coal sales areas. Combining this with weight information refines sales volume predictions. This leads to better resource management, reduces potential revenue loss, and improves overall operational efficiency.

SOLUTION OVERVIEW

Reimagining Manual Sales with AI Detection

Object detection offers a powerful solution for mining and quarrying operations seeking to improve coal sales supervision. This technology uses cameras to automatically identify and track vehicles as they move in and out of coal sales areas. License plate recognition identifies each vehicle, and this information can be linked to weight data. The system then uses this enriched data to generate accurate sales volume predictions, giving you superior oversight.

This technology automates data collection, reducing manual errors and freeing up personnel. Imagine a weighbridge that automatically logs every truckload of ore, ensuring accurate records without human intervention. Object detection provides real-time monitoring of material flow, integrating with existing systems to support proactive resource management and better compliance reporting. This leads to significant operational improvements across the entire mining operation.

HOW IT WORKS

Images Show Coal Pile Volume

Capturing Vehicle Movement with Cameras

Capturing video feeds from strategically placed cameras initiates the process. These cameras are positioned to monitor vehicle movement at critical points within the mining or quarrying site, such as entry and exit points of coal sales areas. This provides the visual data needed for the next stage.

Analyzing Video Footage for Vehicles

Analyzing video footage using object detection algorithms is the next step. The system identifies and tracks vehicles in the video stream, focusing on license plates. This automated identification method eliminates the need for manual recording, ensuring accuracy and efficiency.

Recognizing Plates and Linking Weight

Recognizing license plates and linking them to weight data refines the analysis. The system uses license plate recognition (LPR) to identify each vehicle, then associates this data with corresponding weight measurements taken at weighbridges. This combined information creates a comprehensive record of each transaction.

Predicting Sales Volume Accurately

Predicting coal sales volume with machine learning models is the final stage. The system uses the enriched data (vehicle ID, weight, timestamps) to train machine learning models. These models then predict coal sales volume with improved accuracy, helping to optimize resource management and reduce revenue loss for mining operations.

Potential Benefits

Improved Data Accuracy

Increased Accuracy in Sales Data By automating vehicle tracking and weight logging, the system minimizes human error, providing a more precise record of coal sales volumes. This leads to better informed decisions based on reliable data.

Optimized Resource Allocation

Enhanced Resource Management Real-time monitoring of material flow allows for proactive management of coal resources, preventing shortages or overstocking. This optimization directly impacts profitability and operational efficiency.

Lower Operational Expenses

Reduced Operational Costs Automating data collection frees up personnel from manual tasks, allowing them to focus on other critical areas of the mining operation. This leads to significant cost savings and improved productivity.

Strengthened Regulatory Compliance

Improved Compliance Reporting The system's detailed records and tracking capabilities streamline compliance reporting, ensuring adherence to regulations. Accurate data minimizes the risk of penalties and enhances transparency.

Implementation

1 Camera Installation. Install cameras at entry, exit, and weighbridge locations to capture vehicle movement.

2 System Configuration. Configure software with camera feeds and integrate with weighbridge data systems.

3 Model Training. Train the object detection model using initial vehicle and weight data.

4 Real-time Monitoring. Enable real-time license plate recognition and data association for each vehicle.

5 Sales Analysis. Analyze sales volume predictions to optimize resource management and reporting.

Source: Analysis based on Patent CN-116720882-A "Coal mine sales data prediction method and system and electronic equipment" (Filed: September 2023).