How Does the Maintain-AI Process Work?
Delivering The Ability to Optimise Your Road Network Inspections and Actions
The continuous inspection of a pavement network is an important element of road maintenance because surface distresses, after initiated, will cause the accelerated deterioration of a pavement's structure.
Whilst traditional approaches of distress detection are human-dependent, expensive, inefficient and/or unsafe, Maintain-AI has developed a deep learning AI solution that analyses pavement images at unprecedented accuracies.
Maintain-AI uses the most promising approaches of computer vision algorithms which adopt machine
learning models to detect the different types and severities of distresses as well as identifying and assessing numerous other associated infrastructure elements from collected road network images.
Ultimately, Maintain-AI's AI solution is extremely valuable as we are able to generate results that are considered objective and reliable (minimised standard deviations compared to suitable alternatives), effective (with minimal bias to a suitable reference observed) and efficient (when comparing the resources of cost and people required compared to comparable alternatives).
A Simple But Very Effective Process
Collect Data through your Phone and
Upload to Our Analytics Service
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Pavement Defect Identification
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Rider Comfort
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Network Infrastructure including line markings, signage and more - not just road defects!
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Customisable Dashboards
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Defect Severity / Density
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ePavement Quality Index
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eRider Comfort Grade
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ePaser Index
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Present Serviceability Rating (PSR)
Step 1 - Road Network Data Collection
Scan the Road Network and Upload the Data
Step 2 - Analyse the Selected Data
Use Machine Learning to Evaluate the Results
Step 3 - Reports and Dashboards
Detailed Performance Information of the Network
Reliable
Effective
Efficient
Scalable
Economical
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Time Based Asset Performance Comparisons
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Treatment Suggestions
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Implied Repair Costs
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Cost-Benefit Value Ranking
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Data / Platform Hosting
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+ More in Development
How Maintain-AI Differs?
We Transform Pavement Management with Data-Driven Consistency
Maintain-AI delivers the data and insights needed to enhance predictive modeling accuracy, optimise maintenance strategies and support data-driven decision-making.
Enhanced Data for Improved Modeling: Maintain-AI can provide the high-frequency, objective pavement data necessary to significantly improve the outcomes and real-time relevance of existing predictive pavement deterioration models used by road agencies. This allows for far more consistent and timely forecasting of maintenance needs.
Unparalleled Efficiency and Objectivity: Our AI-powered automated road surface inspection solution dramatically improves data collection efficiency and objectivity, reducing costs and subjectivity compared to traditional methods. You get more data, faster and with greater visibility.
Bridging the Gap Between Data and Action: Maintain-AI will support more timely interventions, preventing minor issues from escalating into major, costly repairs. This proactive approach helps you avoid 'analysis paralysis' and ensures that resources are applied where they are most needed, when they are most needed.
Data-Driven Decision Support: Maintain-AI's intuitive dashboards provide clear visualisations and analysis of your entire pavement network's health, allowing for better communication of funding needs and improved management of all associated assets and elements. You'll be able to readily demonstrate your needs and your success in meeting them.