ASIMOB offers an AI-powered platform for automated road asset inspection and maintenance management. The system uses onboard sensors and computer vision to detect and classify pavement defects, signage issues, and safety barrier damage, enabling proactive maintenance and data-driven infrastructure upkeep.
Funding
Funding not disclosed
Founders
Product
Problem
Manual road inspection is labor-intensive and infrequent, leading to delayed identification of critical infrastructure defects and safety hazards. This reactive approach results in increased maintenance costs and compromised road user safety due to unaddressed issues like pavement degradation and non-compliant signage.
Solution
ASIMOB provides an AI-powered platform for automated road asset inspection and maintenance management. The system utilizes onboard vehicle sensors and advanced computer vision algorithms to continuously monitor road conditions, traffic signals, and safety barriers. By automatically detecting and classifying defects such as potholes, cracks, and damaged signage, ASIMOB enables proactive maintenance scheduling and data-driven decision-making. This approach enhances road safety and optimizes resource allocation for infrastructure upkeep.
Target Audience
ASIMOB serves road authorities, municipal public works departments, and infrastructure management companies responsible for maintaining road networks and ensuring public safety.
Features
- AI-driven detection and classification of pavement defects including potholes, cracks, and alligatoring.
- Automated inventory and condition assessment of vertical traffic signs, identifying defects and deviations from standards.
- Real-time monitoring of road markings and horizontal signage for visibility and compliance.
- Inspection of safety barriers (metal, wood, plastic, concrete) for damage and structural integrity.
- Detection and analysis of temporary and permanent signage in work zones for correct placement.
- Capability to predict pavement degradation and monitor construction zone compliance.
- Integration of vehicle sensor data for identifying road surface slip hazards.
- Configurable alert thresholds and reporting for customized maintenance workflows.
- Access to geolocated video evidence for each detected anomaly to support verification.