CAMTIR / PLANNED PRODUCT

CAMTIR ATLAS

Map road damage. Prioritize what matters.

CAMTIR Atlas is a planned road-condition intelligence platform designed to map potholes, pavement cracks, surface deterioration and damaged infrastructure. Atlas also aims to identify road segments where collisions have been reported or observed, revealing recurring crash locations and patterns that may warrant closer safety investigation. A collision-risk signal is not proof that road design caused an accident; observations require validation and contextual assessment. By connecting location, time, imagery and historical observations, Atlas could help road authorities prioritize inspections, maintenance and targeted safety interventions. Subject to applicable law, contractual permissions and privacy protections, aggregated or appropriately de-identified road-condition and collision-pattern insights could also be offered to insurance companies for risk research and to advertising and media companies for location-level planning and audience-free geographic analysis. CAMTIR does not propose selling identifiable driver footage, personal journeys or sensitive personal data to advertisers. Any data sharing would require a lawful basis, appropriate safeguards and clear limits on use. Planned tools include an interactive condition map, reviewed incident records, repeat-observation clustering, risk trend dashboards and structured exports. Atlas is intended to support qualified human decisions, not replace engineering or accident investigation.

01 / THE PROBLEM

Road damage is difficult to track consistently.

Potholes, cracking, uneven pavement, collision locations and damaged infrastructure are often reported through fragmented channels. Different teams may receive duplicate observations, limited context or inconsistent descriptions. Without an organized review process, prioritizing inspections and communicating repair status becomes harder.

02 / THE PRODUCT

A map-first road-condition workflow.

CAMTIR Atlas is intended to collect appropriately sourced road observations and organize potential defects into location-aware records. A reviewer should be able to inspect the source image, understand where and when it was captured, check whether similar reports exist and assign a status. Atlas can also map reported collision locations and recurring crash patterns to support investigation and road safety prioritization; a map is not a substitute for engineering or accident investigation.

03 / PLANNED WORKFLOWS

Capture, validate, cluster and prioritize.

Proposed functions include imagery review, location and timestamp validation, duplicate clustering, severity notes, inspection queues, change tracking and structured exports. Any automated suggestion must remain open to correction by a human reviewer.

04 / WHO IT SERVES

Designed for road maintenance stakeholders.

Potential users include municipal road maintenance teams, infrastructure operators, authorized inspection partners, insurance companies researching geographic risk trends and advertising firms using lawfully aggregated location-level insights. Personal driving histories or identifiable footage must not be sold to advertisers. Access, reporting standards and retention rules would be configured to fit the institution and applicable law.

05 / STATUS

Planned initial product.

Atlas is a planned product. Public descriptions are a roadmap, not evidence of a deployed platform, completed integration or contractual relationship.

THE PARTICIPANT NETWORK

How road observations enter the system.

CAMTIR proposes an opt-in mobile application through which eligible drivers may contribute permitted road observations during their normal journeys. A potential kilometer-based rewards program would compensate eligible, verified distance under published pilot terms, not simply the number of kilometers shown by a phone. A participant dashboard would distinguish total distance from accepted distance, pending verification, rejected segments, applicable reward rates and payout limits. No reward or live program is guaranteed at this stage.

The proposed processing sequence is: participant consent and safe capture; trip validation and privacy controls; screening for road or traffic signals; confidence and quality checks; appropriate human review; and structured routing to the relevant product. Atlas focuses on road condition, Patrol on potential traffic events and Command on coordinated operational review. Data access and retention would depend on permissions, contracts and local law.

EXPLORE A COLLABORATION

Help shape responsible road intelligence.

We welcome conversations about technical validation, legal requirements, infrastructure needs and pilot design. Please contact the team to discuss potential collaboration.