.webp)
.webp)
.webp)
Sensor enabled Evidence based Quality Monitoring System
Driving Quality by Implementing Evidence-Based Monitoring for Rural Roads and Highways in India
Proprietary AI-engine “CogQM” to capture Roller passes
Proprietary AI-engine “CogQM” captures all the important aspects of roller working for road work at each layer of work like earthwork, bituminous macadam etc.
Configurable multi-lingual preventive checklist
By defining specific asset classes and tailoring maintenance tasks accordingly, the system ensures comprehensive and targeted inspections, including routine checks, system diagnostics, matching target vs actual values.
Live Tracking of Vehicles
By utilizing sensors integrated into construction vehicles, PIUs(Project Implementation Units) can monitor real-time data on vehicle location, speed, and usage patterns, ultimately leading to improved overall quality and timely completion of infrastructure developments.
Traceback route of vehicle
A detailed view of the route taken by the vehicles can be traced back and played upon based on the timestamp.
Configurable multi-lingual preventive checklist
By defining specific asset classes and tailoring maintenance tasks accordingly, the system ensures comprehensive and targeted inspections, including routine checks, system diagnostics, matching target vs actual values.
Vehicle traversal heatmap
By combining GPS and software capabilities , heatmaps can be generated to visualize vehicle traversal patterns across construction sites. These heatmaps provide valuable insights into traffic flow, congestion areas, and usage patterns of construction vehicles.
Empowering India’s infrastructure growth with Cognecto
Ministry of Rural Development, GOI is using Sensor enable EQMS to monitor the road construction progress, layer-based passes to ensure the quality of roads in rural India.
Enhanced Real-Time tracking of heavy machineries working on-ground.
Improved Data Accuracy and centralized data reporting.
Optimized Resource Allocation w.r.t. Assets and operators.
"Implementation of preventive checklist has significantly optimized our maintenance process for our heavy earth-moving machinery. It's reassuring to know that potential issues are being caught before they escalate, minimizing downtime and unexpected repair costs. The maintenance workflow ensures every aspect of maintenance is covered systematically improving the overall efficiency of our operations.”
Pradeep Aggarwal
NRIDA, MoRD
12%
Improvement in quality of time
18%
Efficiency in process and manageability
6%
Reduction in time taken for construction
10%
Improvement in Attendance
Cognecto’s sensor enabled evidence based quality monitoring system ensures improved highway construction quality.
Innovating Maintenance Standards
Enabling Infrastructure advancement through Innovative Technology Solutions
CogQM
Processing Engine algorithm to calculate the number of passes made by roller while flattening.
Scalability
To handle the monitoring of growing number of heavy equipment's like f is robust enough.
Integration
Platform capability to integrate with existing APIs and data such as rural road data, highway construction, govt. contractors etc.
-p-800.webp)
Answers to questions you might have about
How to Remotely Monitor Site Activity?
Construction involves distributed teams and varied equipmenthandling tasks like excavation, grading, and layer placement. Monitoring thesein real time is critical for project control. Using AI-powered cameras andcomputer vision, site supervisors can digitally track task execution, linkingit to specific machines and operators. When combined with IoT telemetry, averifiable activity trail is created—geo-tagged and time-stamped for remoteaccess by project stakeholders. Alerts flag non-compliance or delays, ensuringcorrective action is timely.Cognecto’s digital site monitoring solution integrates AIcameras, GPS, and machine data to offer a real-time audit trail of all siteactivities—ensuring transparency and operational control.
Can Road Construction Progress Be Tracked Digitally?
Yes. Construction milestones like completion of subgrade,GSB, WMM, and bituminous layers are key indicators for payments, audits, andscheduling. Digital tracking logs equipment activity, material usage, chainagecoverage, and photo/video evidence. These milestones are geo-tagged,time-stamped, and reflected on a centralized dashboard. Reports can be filteredby package, date, or layer for review. Delays or skipped milestones triggeralerts for quick intervention, ensuring execution aligns with DPR expectations.
How to Monitor Road Condition After Construction Using AI?
Post-construction, roads may develop defects such aspotholes, cracks, or drainage issues. AI-based video analysis, using mobile ormounted cameras, can automatically detect and classify these duringinspections. Defects are mapped to chainage with severity and type. Maintenancetasks are prioritized and assigned digitally, with updates and visual closureverification tracked through mobile apps. This system reduces dependency onphysical audits and allows for faster, accountable repairs.Cognecto's AI defect monitoring tools automate roadinspection and repair workflows, enhancing road quality and ensuring timelyresolution of post-construction issues.
How Can Road Condition Surveys Be Conducted Using AI?
Traditional road condition surveys are costly and manual.AI-enabled video analytics streamlines this by scanning roads with mounted orhandheld cameras. It automatically detects cracks, potholes, faded markings,vegetation encroachment, and edge failures. Each defect is geo-tagged andchainage-marked, generating a full condition report. Periodic surveys helpmonitor deterioration trends and support preventive maintenance planning whilealso ensuring contractor accountability.Cognecto’s AI survey platform eliminates manual inspectionsand delivers accurate, GPS-linked defect maps for scalable and efficient roadcondition monitoring.
How Do Video Analytics Help Identify Construction Defects After Completion?
AI-powered video analysis identifies surface issues such ascracks, potholes, and edge failures that may go unnoticed during manualinspections. As vehicles survey the road, the system logs defects by chainage,classifies them by type, and creates actionable maintenance reports. Thisautomated approach ensures higher coverage and accuracy than human audits.Cognecto’s video analytics system detects and logs roaddefects at scale, providing cost-effective, reliable maintenance triggers afterproject handover.
How Can Authorities Verify That Road Width Standards Are Followed?
Mounted cameras capture road footage, which AI tools thenanalyze to measure road width continuously along the chainage. Thesemeasurements are compared against DPR specifications. Deviations are flaggedand visualized on geo-referenced maps or exported as KML files. This ensurescompliance and helps detect under-execution during clearing, subgrade, or finalpaving stages.Cognecto uses AI and geospatial tools to verify road widthadherence, enabling authorities to audit alignment and construction qualitywith visual proof.
