Jinyun Automatic Vehicle‑Counting & Volume‑Measurement Robot

Product Overview

The Jinyun Automatic Vehicle‑Counting & Volume‑Measurement Robot is an industrial‑grade LiDAR‑based transport monitoring solution specially developed for open‑pit mines, material yards, construction sites and waste‑disposal sites. It performs non‑stop dynamic detection for passing haulage trucks, automatically distinguishes empty‑load, partial‑load and full‑load status, calculates cargo volume, counts vehicle trips, generates 3D point‑cloud models and captures panoramic snapshots. All data is uploaded to cloud servers, enabling remote query via mobile APP and web‑end system. It solves long‑standing pain points of traditional manual statistics: inaccurate trip‑counting, unrecognizable under‑loading, poor night‑time visibility and high operating costs, helping enterprises achieve quality improvement and cost reduction.

Core Advantages

• Non‑stop Dynamic Measurement
  Complete volume calculation and vehicle counting while trucks keep moving, no stop‑and‑go required, greatly boosting site transportation efficiency. Automatically identify empty‑load, partial‑load and full‑load status, output real‑time haulage volume and trip statistics.
• Simple & Fast Field Deployment
  Adopt aviation‑plug interfaces for all connections. No professional technicians required for on‑site installation. Mount LiDAR and capture devices on roadside poles to get the system operational rapidly.
• Industrial‑grade Reliability for Harsh Outdoor Conditions
  Built with industrial‑grade components, waterproof and dustproof. Stable continuous operation 24‑hours a day, 365‑days a year, adapting to wide temperature fluctuations from ‑30℃ to +60℃.
• Cloud‑based Remote Data Management
  Adopt cloud service architecture. Transport data is automatically uploaded over 4G/3G/GPRS networks. Authorized users can check statistics, view vehicle snapshots and export reports anytime from PC terminals or mobile APPs for managers, finance and operation teams.
• Visual Evidence for Each Haul Trip
  Real‑time output of vehicle 3D point‑cloud models plus panoramic snapshots for every passing truck, recording actual loading conditions for traceable transport management.

Working Principle & Workflow

1. Install LiDAR sensor and capture unit on roadside support poles.
2. When haulage trucks pass by, the system automatically detects actual cargo loading volume.
3. Complete vehicle counting, compute haulage volume, output 3D point‑cloud data and take panoramic snapshots for each truck; judge full‑load, partial‑load or empty‑load status.
4. Data is auto‑uploaded to cloud server. Operators access transport records remotely via mobile phones or computers.

Application Background

Mine haulage management has always been a major challenge for mining enterprises. Traditional management relies purely on manual trip counting to calculate worker performance and carrier freight. This method cannot detect under‑loaded trucks and fails to observe real loading status at night, resulting in high production costs and low operational efficiency.
Jinyun Automatic Vehicle‑Counting & Volume‑Measurement Robot addresses these pain points effectively, delivering tangible quality improvement and profit growth for mining and bulk‑material enterprises.

Typical Application Scenarios

Open‑pit mines, cement plants, metallurgical yards, aggregate quarries, muck disposal sites, large‑scale construction projects and bulk‑material logistics yards.