Road Monitoring
Automatic detection of cracks, potholes, damaged signage, and obstructive vegetation on public and private roads.
We combine computer vision and artificial intelligence to automate inspection, monitoring, and security across critical industries. Faster insights, fewer errors, smarter decisions.
Organizations lose time and resources to slow, expensive reviews that are prone to human error.
Roads, bridges, and public assets deteriorate without early detection, creating safety risks and escalating costs.
Traditional surveillance systems require constant human review, causing critical events to be missed in real time.
Construction progress is measured manually, yielding inconsistent data and delayed reporting.
Monitoring safety compliance at scale is nearly impossible without automated visual tools.
Each module is designed to solve a real-world challenge with models specifically trained for your industry.
Automatic detection of cracks, potholes, damaged signage, and obstructive vegetation on public and private roads.
Visual inspection of bridges, buildings, and public assets with detection of structural deterioration and anomalies.
Real-time detection of vandalism, suspicious behavior, theft, and security events across monitored areas.
Automatic verification of PPE usage (helmets, vests, gloves) and compliance with safety regulations in work zones.
Real-time tracking of project progress, visual quality control, and productivity analysis on construction sites.
We build tailor-made computer vision models to meet the specific needs of your company or industry.
A robust pipeline that turns images and video into actionable intelligence.
We integrate with IP cameras, drones, CCTV systems, or existing video files. No proprietary hardware required.
Our computer vision models analyze each frame in real time or in batch, identifying objects, anomalies, and events.
The system classifies and prioritizes findings: damage, non-compliance, security events, or structural changes.
Real-time visualization, configurable alerts, automated reports, and API integration with your existing systems.
Here is how our clients are transforming their operations.
A municipality processed over 500 km of roads using drone-captured footage and our system, detecting 1,200+ pavement defects that would have taken months to identify manually.
A construction company reduced workplace incidents by deploying automatic PPE detection across job sites, receiving instant alerts for every violation.
An urban transit authority integrated our solution across 300 existing cameras, automating critical event detection and reducing the operational load on their security team.
Built on the most advanced computer vision models and adapted to each use case.
Convolutional neural networks (CNN) trained on industry-specific data for maximum accuracy.
YOLO and Transformer architectures optimized for live video processing with minimal latency.
Flexible deployment: cloud-based, on-premise, or on edge devices depending on your requirements.
Simple integration with your existing systems: ERP, SCADA, and management platforms.
Architecture designed to grow from a single pilot site to full national operations.
Models learn from new data in your environment, continuously improving accuracy over time.
We understand that every industry is different. That's why we build tailored solutions, not generic ones.
We don't use off-the-shelf models. We train on data specific to your environment, region, and operational context.
Works with your current infrastructure: existing cameras, management systems, and established workflows.
We define clear success metrics before we start. You see concrete results, not just pretty dashboards.
Our team understands regional needs, local regulations, and is available to guide you every step of the way.
Request a personalized demo and we'll show you how Perceptavis can transform your industry.