Urban Maintenance
Intelligent
Your OCR vehicles already cover the whole city every day. Now they also see every pothole, every damaged sign, every faded road marking.
Areatec's Intelligent Urban Maintenance turns enforcement vehicles that already circulate daily into high-precision mobile sensors. No extra teams, no dedicated vehicles, no added operating costs. The same fleet that enforces parking now maps the full health of your city's road infrastructure, in real time, with embedded artificial intelligence.
Your city is deteriorating while you wait for manual reports
Inspection teams cover only a fraction of the roads. Reports arrive weeks late. Potholes turn into craters. Faded markings cause accidents. Damaged signs create confusion. The public manager only finds out about the problem when a citizen complains or the accident has already happened.
Slow and Expensive Inspections
Dedicated inspection teams cover less than 15% of the road network per month. Operational costs are high and coverage is insufficient for proactive management.
Outdated Data
By the time the report reaches the manager's desk, the street reality has already changed. Small potholes have become dangerous. Decisions are made based on outdated information.
Increasing Legal Risks
Accidents caused by potholes and poor signage lead to lawsuits against the municipality. Without prior documentation, legal defense is compromised.
Budget Without Prioritization
Without objective severity data, the maintenance budget is allocated based on political criteria or reactive demand, never on actual technical need.
Blind Spots in the City
Secondary streets, peripheral neighborhoods, and low-traffic roads rarely receive inspections. Deterioration advances silently until it becomes irreversible.
Reactive Maintenance
The current model is to wait for the problem to occur before acting. Each day of maintenance delay multiplies repair costs by up to 6 times.
Each vehicle pass analyzes dozens of assets simultaneously
The same vehicle that already drives across the city enforcing parking now captures and processes, in real time, the condition of all visible road infrastructure. A single pass generates data on pavement, signage, street furniture and much more.
Potholes and Depressions
Automatic detection of potholes, depressions, sinkholes, and pavement dips. Severity classification according to DNIT standards (light, moderate, severe) with estimated sizing.
Horizontal Signage
Analysis of the quality of crosswalks, edge lines, center lines, directional arrows, and pavement legends. Assessment of wear level and visual retroreflectivity.
Traffic Signs
Complete inventory of vertical signage: regulatory, warning, and informational. Identification of damaged, vegetation-obstructed, illegible, or missing signs.
Pavement Condition
Continuous mapping of cracks, patches, ripples, surface wear, and wheel track sinking. Pavement Condition Index (PCI) automatically calculated per segment.
Curbs and Gutters
Detection of broken curbs, clogged gutters, damaged lowered guides, and visible surface drainage problems. Essential for accessibility and stormwater runoff.
Manhole Covers
Identification of missing, broken, uneven, or rusted manhole covers. Each occurrence is georeferenced with sub-meter accuracy for immediate team dispatch.
Other Assets Monitored Automatically
From capture to report in real time
The processing pipeline runs entirely inside the vehicle. From image capture to final classification, everything happens at the edge, with no network latency and no dependence on external infrastructure.
Aretron Vehicle on Route
The same vehicles that already perform parking enforcement travel city streets on optimized routes. No additional vehicles are needed. No extra teams are mobilized.
Continuous Image Capture
High-resolution cameras strategically positioned on the vehicle capture images of pavement, signage, and surroundings at sub-second intervals, covering both sides of the road.
Edge AI Processing
All artificial intelligence runs inside the vehicle on dedicated hardware. It does not rely on internet connection. It does not send raw images to the cloud. Processes in real time, frame by frame.
Automatic Classification
Each detected defect or asset is automatically classified according to technical standards (DNIT, CTB, ABNT). Severity, type, estimated size, and priority are assigned without human intervention.
Precise Georeferencing
GNSS coordinates with sub-meter accuracy are linked to each occurrence. Pintrust authentication ensures legal validity and full traceability of geospatial data.
Dashboard and Reports
Consolidated data is presented in interactive dashboards with heat maps, prioritization indices, and exportable reports. Native integration with municipal GIS systems.
Edge AI: intelligence that does not depend on the cloud
All AI inference happens locally, inside the vehicle, on specialized hardware. This eliminates network latency, ensures operation in areas without cellular coverage and protects the privacy of the captured data.
High-Performance Embedded GPU
Dedicated neural processor with real-time inference capability. Runs multiple computer vision models simultaneously without performance degradation.
Calibrated Industrial Cameras
High-resolution image sensors with calibrated lenses for motion capture. Automatic compensation for brightness, vibration, and vehicle speed.
DATARACE Protocol
Proprietary hybrid TCP/UDP communication that ensures data delivery even in cellular shadow zones. Dynamic switching between protocols based on network quality.
Inference in Under 50ms
Each frame is processed in less than 50 milliseconds. Processing speed exceeds capture rate, ensuring no defect goes unnoticed.
Specialized AI Models Running Simultaneously
The infrastructure already exists. Just activate it.
While other solutions require investment in dedicated vehicles, specialized teams and complex logistics, Areatec's Intelligent Urban Maintenance runs on infrastructure that is already on the street, every day, covering the entire road network.
Traditional Model
Intelligent Maintenance
What changes in your city's management
Intelligent Urban Maintenance shifts infrastructure management from reactive to predictive. The public manager gains full visibility into road conditions and can make decisions based on objective, up-to-date and auditable data.
Reduction in Repair Cost
Preventive maintenance identified by AI costs up to 6 times less than emergency repairs. Early detected potholes are fixed with simple patching, not full resurfacing.
Road Network Coverage
All roads traveled by the OCR fleet are automatically monitored. Peripheral neighborhoods, secondary roads, and alternative routes receive the same level of attention as main avenues.
Fewer Citizen Complaints
Municipalities adopting continuous monitoring report a significant drop in complaints about potholes and signage, as issues are resolved before being noticed by the public.
Subjectivity in Evaluation
AI classification eliminates variation among human evaluators. Each defect is categorized with the same objective criteria, always, regardless of who operates the system.
Complete Evolution History
Each road segment has photographic and condition history over time. The manager can track deterioration evolution and validate the effectiveness of interventions performed.
Documented Legal Defense
Each occurrence is georeferenced, dated, and automatically classified. In legal cases, the municipality has technical documentation proving the problem was identified and addressed.
Classification according to Brazilian standards
All defects and assets are classified according to the technical standards in force in Brazil. The generated reports are accepted by regulatory agencies and can be used in accountability processes, audits and public tenders.
DNIT 005/2003 - TER
Defects in flexible and semi-rigid pavements. Terminology and classification of cracks, potholes, patches, and deformations.
DNIT 006/2003 - PRO
Objective evaluation of the surface of flexible pavements. Continuous visual survey procedure.
DNIT 008/2003 - PRO
Continuous visual survey for evaluation of the surface of flexible and semi-rigid pavements.
CTB - Vertical Signaling
Brazilian Traffic Code. Classification of regulatory, warning, and indication signs according to CONTRAN Resolution.
ABNT NBR 14723
Horizontal road signaling. Evaluation of retroreflectivity and visual condition of pavement markings.
CONTRAN Signaling Manual
Volumes I to VIII of the Brazilian Traffic Signaling Manual. Reference for inventory and compliance assessment.
How public managers use the data
Resurfacing Planning
The pavement condition map allows precise identification of sections requiring priority intervention. The works manager can plan resurfacing bids based on objective data of extent, severity, and location, optimizing the use of the available budget.
Signage Management
The automated inventory of signs and road markings allows the Traffic Department to know exactly how many signs exist, where they are, and their condition. Replacements and repainting are scheduled based on real deterioration data.
Defense in Legal Proceedings
When a citizen sues the municipality for an accident caused by a pothole or deficient signage, the city hall has georeferenced and dated photographic records proving when the defect was detected and what action was taken.
Accountability and Transparency
Periodic reports showing the evolution of road quality indicators can be published on the transparency portal. Citizens follow infrastructure improvements and managers demonstrate concrete results of their administration.
Budget Prioritization
The severity index calculated by AI allows creating a technically objective priority queue. Roads with higher accident risk or traffic volume are automatically prioritized, eliminating decisions based solely on political pressure.
Integration with Municipal Systems
Maintenance data directly feed the city hall's service order system. When a severe defect is detected, a service order can be automatically generated for the maintenance team responsible for the section.
Part of a complete urban mobility platform
The Intelligent Urban Maintenance does not operate in isolation. It is part of the Olho Vivo ecosystem by Areatec, which integrates traffic enforcement, rotating parking, video monitoring, and mobility management into a single platform.
Olho Vivo Patrol
Intelligent enforcement with embedded OCR. The same vehicle that enforces now also performs maintenance.
Learn morePintrust
Authenticated georeferencing with legal validity. Each occurrence has tamper-proof location evidence.
Learn moreAretron
Artificial intelligence platform that continuously trains and optimizes detection models.
Learn moreSyncRealTime
Real-time synchronization between vehicle and control center. Data instantly available for decision making.
Learn moreFrequently Asked Questions
No. The Intelligent Urban Maintenance operates on the same OCR vehicles that already enforce rotating parking in your city. There is no need to acquire, license, or maintain any additional vehicles.
No. The entire process of capture, processing, and classification is automated. The AI embedded in the vehicle performs the work that previously required field engineer teams. The data arrives ready for decision-making.
Yes. All AI processing happens locally, inside the vehicle (Edge AI). Data is stored and synchronized when the connection is restored, without any loss of information.
Yes. The classification follows current DNIT and CTB standards. Each occurrence has authenticated georeferencing via Pintrust, with proven legal validity.
The frequency depends on the enforcement route. In cities with daily rotating parking operations, main roads are mapped daily and secondary roads weekly. This allows monitoring the evolution of defects over time.
Yes. The platform has documented RESTful APIs for integration with any municipal management system. Service orders can be automatically generated when severe defects are detected.
The AI classifies each defect by type and severity according to DNIT standards. A prioritization algorithm considers severity, traffic volume, evolution history, and accident risk to generate an objective intervention queue.
No. The system simultaneously detects more than 12 types of assets and defects: potholes, cracks, patches, undulations, worn horizontal signage, damaged signs, broken curbs, manhole covers, invasive vegetation, drainage problems, accessibility issues, and much more.
Your city already has the infrastructure.
Activate the intelligence.
Talk to our technical team and find out how to turn your enforcement vehicles into a complete urban maintenance platform. From deployment to ongoing support, Areatec is with you at every step.