By integrating 360° street-level imagery and AI-derived insights, state and local governments can enhance geospatial data capture to improve the management and maintenance of carriageways and footways. Leveraging LiDAR data integration and automated data capture solutions, agencies can proactively assess infrastructure condition, optimize urban mobility mapping, and ensure street-level mapping accuracy. This technology enhances safety, efficiency, and sustainability in public infrastructure management, enabling data-driven decision-making and reducing maintenance costs.
Avoid complicated bespoke projects and access the data you need today.
Detect and assess potholes and other surface defects on roads and sidewalks.
Analyze wear and tear trends via historical imagery to predict future deterioration.
Plan a swift and effective response, minimize downtime and service disruptions.
Automate crack identification and categorize them by severity, allowing for targeted maintenance efforts.
Catalog features such as crosswalks, curb ramps and bike lanes, for are maintenance and compliance.
Enhance transparency and trust in local government operations by providing access to condition data and maintenance plans.
Automate condition assessment with NCTech’s AI-derived insights to assess potholes and other surface defects on roads and sidewalks.
Identify cracks, categorize severity, target maintenance efforts.
Prioritize emergency response efforts after natural disasters or severe weather events. Rapidly assess the condition of roads and sidewalks, identifying areas needing immediate attention.
Automate condition assessment with NCTech’s AI-derived insights to assess potholes and other surface defects on roads and sidewalks.
Identify cracks, categorize severity, target maintenance efforts.
Prioritize emergency response efforts after natural disasters or severe weather events. Rapidly assess the condition of roads and sidewalks, identifying areas needing immediate attention.
NCTech integrates a streamlined delivery system with rigorous processes to maximize operational efficiency and drive cost reduction for all stakeholders. Integrated imagery with advanced GIS technology, enhancing the application and analysis of geospatial data for a multitude of projects globally.
Globally recognized as the partner of choice, we excel in designing, building, and implementing cutting-edge geospatial technologies. We empower you to harness the unparalleled advantages of street-level imagery combined with GIS, aligning perfectly with your department’s objectives.
We’ve gathered some of the most common questions we receive to help you find answers quickly. If you can’t find the answer you’re looking for, simply get in touch with our team and we’ll be happy to answer any questions you may have.
It’s an automated workflow that uses 360° street-level imagery with AI-derived insights (and optional LiDAR integration) to analyse surface condition, hazards, and right-of-way features—so agencies can manage and maintain roads and footways more effectively.
The solution can detect potholes and other surface defects, identify cracks and categorise severity, and flag hazards like uneven surfaces, debris, or obstructions for targeted maintenance and safety action.
By streaming updated condition data directly into your workflows, you can prioritise repairs by severity and impact, verify post-repair outcomes with fresh imagery, and avoid time-consuming, bespoke field surveys.
Yes—outputs support infrastructure inventory and mapping (e.g., crosswalks, curb ramps, bike lanes) so you can keep GIS layers current and plan maintenance/compliance activities inside existing workflows.
Absolutely. Agencies can prioritise emergency response after severe weather or disasters, rapidly assessing the condition of roads and sidewalks to focus resources where they’re needed most.
Delivered as Data as a Service (DaaS), it scales from a single suburb to an entire state road network, making street-level data and AI-assisted assessments accessible regardless of jurisdiction size.
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