AI Algorithm Improvements
Breakthrough advances in object recognition and shape fitting
Improved Object Recognition Algorithm
SiteSee has made a vast improvement in the automated object recognition algorithm used for Telco equipment recognition. The new algorithm is showing improvements in accuracy for all classification of objects.
Patent Pending: This and other improvements in 3D object recognition will be covered by upcoming patent claims. The improvement is transferable to other object recognition types beyond Telco equipment. SiteSee will be using this algorithm on Oil&Gas objects very soon.
The images are automatically detected and recognised using SiteSee 3D object recognition with no manual touch up:
- •Red: Antenna panels
- •Purple: RRU/Box/BOB/RET
- •Green: Tree
- •Blue: Building
New Shape Fitting Algorithm
Advanced shape fitting technology enables more accurate and detailed 3D model reconstruction. This breakthrough allows for better representation of complex equipment geometries and infrastructure elements.
2018 AI Technology Delivery
Highlights of SiteSee's 2018 AI technology delivery include:
Multiple Telco Equipment Recognition: Panels, dishes, RRU/TTA/BOBS
Advanced Shape Fitting: For equipment geometry
Significant Accuracy Gains: Object recognition performance improvements
Communications Equipment Recognition: Yagi and Dipole antenna
Rust Recognition & Classification: New rust detection capabilities
2019 AI Challenges
Looking ahead, SiteSee's 2019 AI challenges include:
- •Apply AI to data capture
- •Deploy continuous learning module
- •Site equipment and Tower Signage Recognition (TSR)
- •Equipment ownership recognition using Cable Run Tracking (CRT)