Bigmate releases MMU Personnel & Vehicle Detection System

Bigmate announces the release of its MMU Personnel & Vehicle Detection System, an advanced perception-based safety solution designed to reduce the risk of high-potential interactions in surface mining before they occur.

Behind it is more than eight years of proven Bigmate engineering in mining, spanning spatial analysis, machine learning, detection and classification.

Now engineered specifically for Mobile Manufacturing Units (MMUs), the system uses front and rear hemispherical LiDAR to perceive the operating environment directly, detecting, classifying and tracking both people and vehicles in real time.

• No GPS dependency
• No tags or wearables
• No hardware required on surrounding people or machines

The system understands:

• What is around the MMU
• Where it is
• How it is moving
• The risk it presents

This perception-based analysis is capable of supporting a 99.99986% accuracy solution within validated operating conditions.

But after eight years of engineering these systems, one thing has become increasingly clear in the industry:

Detection is only part of the story.

Where configured and appropriate, it can also add a graduated control command to an integrated mechanical braking actuator, physically applying the brake without modifying the OEM braking or electronic control architecture.

We are especially excited by how the system adapts its protection zones and logic between mine-site operation and public-road travel.

Key capabilities include:

• Site-aware operating modes, automatically distinguishing mine-site operations from public-road travel
• Personnel and vehicle detection and classification
• Real-time operating-environment processing
• In-cab operator awareness and warnings
• Additional configurable control response modules (achieving up to level 9) available for high-risk situations