Powered by Brain-Sense™ Technology
Asset
inspection
Mindtrace’s Brain-Inspired Artificial Intelligence, the future of LiDAR data processing. Reimagining time to insight for Point Cloud Data.
Industry Challenges
High Levels of Cost
Point Cloud Processing is heavily reliant upon human labour which drastically increases costs.
Time to insight
Traditional Point Cloud processing takes months to complete, making the data redundant once received.
Data Protection
Sensitive data is being outsourced to nations with minimal data security leading to potential data breaches.
Mindtrace's AI powered solution
Mindtrace offers a comprehensive end-to-end solution for Point Cloud Data Processing, transforming LiDAR data within weeks, not months. Creating a proactive approach to Asset Inspection and Vegetation Management.
End-to-end Solution
01
Classification
Performed by our C-Brain
Mindtrace supports over 45 classifications, Our standard classification includes:
- Vegetation Management - Ground, Low/Medium/High Veg, Building, Tower/Pole and Wire.
- Extended Classification - Water, Railroad, Roads (Unpaved, highway, street), Wire by Voltage, Wire by type (Shield/phase/guy/communication) and Thinned Ground/Veg.
02
Vectorisation
Performed by our V-Brain
2D & 3D Vectors of powerline assets are created within hours. We support a variety of data formats including Shapefile, DXF and Geodatabase.
03
Analytics
Performed by our A-Brain
Mindtrace creates standard and custom analytics for our clients. Example reports include:
- Asset Location - the entire network and it's coordinates.
- Intrusion Reporting - Highlight current and upcoming intrusions as well as their severity.
- Pole Lean Assessment - Highlighting lean in the assets.
- Clearance Report - Ground to wire, wire to building and wire to electrified railroad.
Results
All powered by
Brain-Sense™ Technology
Our brains are at the forefront of AI technology, producing best-in-class accuracy whilst significantly reducing cost and time to insight.
Growing AI Library
New brains are developed as we experience new challenges, industries and use cases. Our expanding AI brain library enables brains to be quickly deployed, significantly reducing rollout time.
Minimal Data
Our AI Brains require minimal classified data (5%+) to create an effective model.
Continuous Learning
As more data is processed our AI brains continue to learn and improve, reducing time to insight and increasing accuracy.
Adaptable
The brains can be quickly adapted to accommodate new and unique use cases.
Industries Mindtrace Supports
Power Distribution
Telco Towers
Oil & Gas Infrastructure
Construction
Articles
Read our articles and case studies to learn more about how our technology is utilised within asset inspection.
01.
11,000 KM of power line,
3 Months.
Completing a large-scale transmission corridor inspection project for a large multinational power distribution company.
02.
Mindtrace's Analytics Brain
(A-Brain)
Exploring the inner workings of Mindtrace’s Analytics Brain (A-Brain) to understand its capabilities and outputs.
03.
23 Classifications for distribution corridors
Working with a large US Transmission & Distribution Utility company to complete 23 classifications for their distribution corridor.
04.
LiDAR and Point Cloud Data Processing
Understanding LiDAR, Point Cloud Data Processing and their role within Mindtrace’s Brain-Sense™ Platform.
FAQ
Accurately calibrated and denoised point cloud data, as follows:
File format: LAZ
Point density:
- Minimum number of points of individual pole is 50
- Minimum coverage is 50% (Coverage is defined as at least 1 wire point in a 50cm length of span)
- Minimum point density of 50 points per square meter
Meta data:
- all meta data in the LAZ should be preserved, including the EPSG code
- Data field: all available data fields in the LAZ should be preserved, including Intensity, Number of Returns, Return Numbers
Yes, we support clients across the globe.
Yes, we would love to work on your data and showcase our capabilities. Please use the contact form below to setup a discovery meeting.
Our standard classifications support 45+ classes. However, we are adaptable and scalable to our customer’s requirements.
Yes, in addition to the standard point cloud, vector and report outputs, we also support the customisation and integration of our products into our customers’ existing system and pipelines.
The average delivery time is use-case dependent. However, a 1000-mile project would take approximately 3 days.
Yes, we are happy to provide pre-sale and after-sale support. Please fill out the contact form below and we will be in touch.
Not currently, however, we can provide guidance and support on data collection methods and required quality.
Yes, we are open to collaborating with other enterprises. We already have established partners such as IBM, eSmart Systems and AISPECO.