Projects/Mining & Industry/Smart Excavator
Case Study

Smart Excavator

See every bucket.

A computer-vision system mounted on loading equipment that measures rock fragmentation, detects missing bucket teeth and monitors how trucks are loaded.

Industry
Mining
Status
In development
Timeline
1404–1405 (SH)
Partners
Midhco (midhco.com)
Smart Excavator
01 / The Problem

Loading quality was judged by eye.

Rock fragmentation directly affects loading speed, crusher performance and equipment wear. Yet it was rarely measured, missing bucket teeth went unnoticed until they reached the crusher, and truck loading height was inconsistent.

No objective measure of rock fragmentation
Broken teeth damage crushers and cause downtime
No history of fragmentation over time
Uneven, unsafe truck loading
Real-time detection fewer surprises
Real-time detection
fewer surprises
02 / Our Solution

Vision AI at the point of loading.

Cameras on excavators and loaders analyze every bucket in real time. The system estimates particle size distribution, flags missing teeth instantly and monitors truck loading height, while spatio-temporal reports keep a history of the results.

Technical details
Fragmentation Analysis
Fragmentation Analysis
Automatic particle-size detection during loading
Tooth Loss Detection
Tooth Loss Detection
Real-time alerts for missing bucket teeth
Fleet Reports
Fleet Reports
Fragmentation history, excavator and truck performance
03 / System Architecture

From the bucket to the report.

Edge processing on the machine with centralized reporting for engineers.

Machine Cameras
(On excavators & loaders)
Edge AI
(Segmentation & detection)
Analytics
(Spatio-temporal reports)
Dashboard
(Alarms & history)
04 / Technical Details

Full capability list.

Loading & fragmentation
  • Automatic detection of particle size during loading
  • Real-time identification of missing teeth
  • Historical reports on particle sizes
  • Monitoring the proper loading height in trucks
Fleet intelligence
  • Spatio-temporal reports on fragmentation results
  • Anomaly detection and alarming
  • Tracking the performance of excavators and trucks
05 / Results

Results.

Verified results will be added here.

TBD
Figures to be added
06 / The Team

The people behind it.

A multidisciplinary team of engineers, researchers and domain experts.

Amirreza Javanmardi
Amirreza Javanmardi
Project Manager
Seyed Ali Ahmadi
Seyed Ali Ahmadi
Tech Lead & Product Manager
07 / Gallery

More from this project.

Visuals of the system and its components.

Particle segmentation on a loaded bucket
Tooth detection on an excavator bucket
Oversize detection in a haul truck
System concept illustration
08 / What's Next

Scaling for broader impact.

We are extending fragmentation analytics and fleet performance reporting to more machines on site.

Discuss a similar project