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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.
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