01
Construction camera
Continuous visual input.
Designed for continuous monitoring
Privacy-conscious architecture
Construction-specific analytics
Automated reporting
The product
From construction video to project intelligence.
Site cameras already see everything. The gap has always been between what they record and what a project team can actually use.
02
AI perception
Computer vision interprets site activity.
Detection · Classification · Tracking
03
Spatial intelligence
Visual activity becomes location and time data.
Position · Correlation · Time · Zones
04
Workforce
34
PPE compliance
96%
Zone B activity
+12%
Workfront
Active
Activity
Heatmap
AI observation
Activity increased in Zone B during the morning shift. Workforce distribution remains consistent with the current workfront.
Project intelligence
Structured information for project teams.
- Continuous visibility
- Structured project data
- Automated reporting
- Visual evidence
How it works
From site camera to project insight.
No new site process. No extra reporting task for the site team. Cameras are installed once, and the record builds itself.
Continuous analysis · Automated outputs · Actionable information
01Connected
Install
Cameras specified for your site, supplied by RAVENCV.
02Monitoring
Monitor
Continuous visual coverage during configured periods.
03Processing
Process
Turn continuous observations into structured project data.
04Analysing
Analyse
Reveal patterns, trends and progress signals.
05Ready
Deliver
Project intelligence delivered automatically.
One continuous pipeline
Site activity → Structured data → Project decisions
Automated · Traceable · Construction-specific
Designed for deployment
Cameras supplied
Specified and provided by RAVENCV for each site.
Edge or cloud
Processing architecture adapted to project requirements.
Secure access
Browser-based access with controlled project permissions.
Scalable deployment
Start with selected cameras and expand progressively.
Capabilities
Computer vision built for construction.
Not generic object detection. Each capability answers a question a project team already asks every week.
Workforce presence
How many people were actually on site, where, and for how long.
PPE monitoring
Helmet and high-visibility-vest compliance, recorded when it happens.
Spatial activity mapping
Visual observations mapped onto project zones and site plans.
Multi-camera correlation
Anonymous observations correlated across selected cameras.
Anonymous correlation · no facial recognition · no identification of individuals
Progress intelligence
Observed activity compared with planned work and milestones.
Evolving capability
AI-assisted reporting
Observations consolidated into a summary and the points that need attention.
Applications
Stop reconstructing the week from memory.
Safety, workforce, progress and reporting — built from what the cameras recorded, not from what was remembered on Friday afternoon.
Safety observation
PPE exceptions recorded as they occur, with the corresponding visual record.
PPE compliance trend94%
EXCEPTION · CAM-0208:14
EXCEPTION · CAM-0409:42
Workforce and activity trends
Presence by hour, zone and workfront.
Hourly presence · peak 11:00
ZONE A78%
ZONE B41%
ZONE C66%
Week on week +12%
Progress monitoring
Observed activity against planned execution.
Evolving capability
Planned vs observed activityW28
FORMWORK L3
REBAR ZONE C
FACADE NORTH
Planned
Observed
Milestone M4 · 12 Aug
Project reporting
The weekly report assembled from the record, not from recollection.
Daily project summary28 JUL 2026
›Key observation · Zone C activity above plan
›Weekly activity report generated
PDF
XLSX
EMAIL DIGEST
The platform
One place for what actually happened on site.
Browser access for the project team. No app to install and no new tool for the site to learn.
RAVENCV platform · demonstrator
Illustrative values shown.
Responsible technology
Useful construction intelligence without unnecessary identification.
RAVENCV analyses construction activity, not individual workers.
Designed so a deployment can be explained clearly to site teams and workforce representatives.
Data minimisation
Only the data the agreed use cases require.
Anonymous analytics
Anonymous detections and zone-level patterns.
Controlled access
Managed access and retention policies.
About RAVENCV
Built from construction project experience.
RAVENCV was created around a simple observation: construction sites generate increasing amounts of visual information, while project teams still have limited tools to turn that information into structured, usable project data.
Advanced computer vision · Designed for practical adoption
Construction expertise meets computer vision.
RAVENCV combines practical experience of complex construction and infrastructure delivery with specialist computer-vision and software capabilities to build tools around the way project teams actually work.
Pilot projects
Bring RAVENCV onto a real construction project.
RAVENCV is entering its next stage of real-world construction validation. We are looking to work with construction teams interested in testing visual intelligence on active projects and helping shape practical project workflows.
Core vision engine validated on live multi-camera construction footage · August 2026
Selected cameras · Defined use cases · Measurable outputs
See what your construction site could tell you.
Discuss a pilot, a technical integration or automated progress monitoring.
- Website
- ravencv.com
- contact@ravencv.com
- Based in
- France