About Citilog
With over 25 years of expertise and 60,000 video streams analysed across 50+ countries, Citilog is the global leader in Automatic Incident Detection. We provide the highest detection accuracy with the lowest false alarm frequency rates, delivering unmatched performance in the industry. This is our soul and DNA.
Transform your traffic operations with Citilog’s advanced CT-ADL technology for smarter, safer roads.
Transform your traffic operations with Citilog’s advanced CT-ADL technology for smarter, safer roads.
What is CT-ADL?
CT-ADL, or Citilog Applied Deep Learning, is a proprietary technology developed by Citilog. It applies Artificial Intelligence (AI) and Deep Learning to video-based automatic incident detection, leveraging a neural network trained on real traffic events collected from over 60,000 cameras worldwide during Citilog’s 27 years of expertise. This fusion of Artificial Intelligence, deep learning and specialized traffic algorithms reduces false alarms, ensuring accurate detection and reliable traffic management.Key Features of CT-ADL
High Detection Accuracy
- Reliably identifies incidents such as stopped vehicles, wrong-way drivers, or the presence of a pedestrian in a tunnel.
- Works seamlessly in diverse environments: tunnels, highways, bridges.
False Alarm Reduction
- Reduces false alarms by up to 1Ox compared to traditional
- Filters distractions like shadows, enabling operators to focus on genuine events.
Advanced Detection Capabilities
- Vehicle Classification: Cars, buses, trucks,
- Ready for new modes of mobility: Enhanced safety for vulnerable road users such pedestrians, cyclists or electric scooters.
- Smoke Detection in Tunnels: Early-stage detection for faster response times.
Long-Range Tracking and Spatial Precision
- Detects and tracks vehicles over extended
- Ensures lane-level positioning for precise reporting of road
Traffic Statistics Collection
- CT-ADL enables the collection of traffic data directly from AID cameras within their specific field of view.
- Provides valuable insights to optimize traffic management
CT-ADL identifies a drunk cyclist in a tunnel, ensuring safety for both the cyclist and drivers by supporting the detection of new mobility devices often found in prohibited areas.
Accurate Vehicle Lane Positioning
CT-ADL’s precise lane-level vehicle positioning minimizes false alarms and enables detailed event reporting for traffic operators.
Wrong-Way Driver Detection with Trajectory Visualization
CT-ADL detects a wrong-way driver and provides an alarm within seconds, along with the vehicle’s trajectory for a clear understanding of the incident.
Why Choose CT-ADL Technology?
Smarter Detection Harnesses deep learning for precise monitoring and adaptive traffic management.
Adaptability Performs reliably in varying conditions: low lighting, high traffic density, adverse weather.
Proven Performance Trusted by global traffic management leaders for large-scale deployments.
Constant Evolution Citilog’s R&D team frequently updates CT-ADL’s extensive dataset with new events and video clips, ensuring the system adapts to evolving traffic challenges.
No Onsite Training Required CT-ADL’s large dataset based on real events removes the need for onsite training, offering instant high performance.
Real-World Applications
Urban Tunnels
- Detect incidents like stopped vehicles or vulnerable users entering restricted zones.
- Monitor and respond to smoke or visibility loss in real-
Highways and Bridges
- Ensure smooth traffic flow by detecting slow vehicles and
- Provide insights into traffic patterns and lane
Dynamic Traffic Management
- Adapt to reversible lanes and changing conditions for seamless operation
Smoke Detection in a Tunnel
CT-ADL detects smoke in a tunnel using density mapping, a critical feature to ensure the safety of road users in real-world scenarios.
Wrong-Way Driver Detection on a Highway
CT-ADL promptly and accurately detects a wrong-way driver on a highway, demonstrating its effectiveness in addressing this highly dangerous event.
Experience the Power of CT-ADL
Optimize traffic operations with Citilog’s cutting-edge technology.
Who We Are
- Expertise – Decades of leadership in Automatic Incident Detection (AID).
- Innovation – The only global company solely dedicated to AID, backed by a team of R&D engineers pioneering AI-driven solutions.
- Cutting-Edge Technology – A powerful combination of pixel-based analytics and deep learning models ensures superior accuracy.
- Proven Performance – Over 60,000 cameras deployed in 1,600+ implementations worldwide.
- Global Reach – Projects supported in 70+ countries with dedicated local and international teams.
- Best Total Cost of Ownership – Optimized over 10 years with standard hardware, seamless commissioning, annual upgrades, expert technical support, and robust cybersecurity.
Our Mission
At Citilog, we are committed to delivering intelligent, reliable, and cost-effective solutions that enhance safety in tunnels, on roads and highways, worldwide.
As the only global company dedicated to Automatic Incident Detection, we leverage over 25 years of expertise in AI and deep learning to provide industry-leading detection accuracy with minimal false alarms. Our innovative approach integrates pixel-based analytics with state-of-the-art deep learning models to ensure peak performance.
Through a global network of trained partners and an international team, we offer seamless design, implementation, and ongoing support, helping cities and road operators develop smarter, safer, and more efficient transportation systems.
Technology
Citilog’s Applied Deep Learning technology revolutionizes video-based automatic incident detection, utilizing AI, deep learning, and specialized traffic algorithms to enhance accuracy and minimize false alarms. Trained on real-world data from 60,000+ cameras, it ensures reliable detection and seamless traffic management.
Key Features & Technological Advantages:
- High-Accuracy Incident Detection – Detects stopped vehicles, wrong-way drivers, and pedestrians in restricted areas across tunnels, highways, and bridges.
- False Alarm Reduction – Decreases false alarms by up to 10x by filtering out shadows, reflections, and environmental distractions.
- Long-Range Tracking & Lane-Level Precision – Tracks vehicles over extended distances with exact lane positioning for precise reporting.
- Advanced Vehicle Classification – Classification based on the vehicle shape thanks to the Artificial Intelligence.
- Ready for new modes of mobility – Enhanced safety for vulnerable road users such pedestrians, cyclists or electric
- Smoke Detection in Tunnels – Identifies early-stage smoke for faster emergency response and improved tunnel safety.
- Embedded Traffic Analytics – Gathers real-time traffic statistics using existing AID cameras, eliminating the need for additional sensors.
- Trajectory-Based Wrong-Way Detection – Instantly identifies wrong-way drivers and visualizes their trajectory for rapid operator response.
Our Team: Experts Driving Innovation
Citilog’s success is powered by a team of highly skilled and dedicated professionals. Our engineering experts continuously push the boundaries of AI and deep learning, developing cutting-edge solutions for smarter traffic management. Our international sales team covers all major markets, working closely with customers to ensure tailored solutions. With decades of experience, our technical support team ensures seamless deployment and reliable performance for clients worldwide.
Together, we are committed to delivering innovative, reliable, and customer-centric solutions that shape the future of transportation.
Our History
From its inception, Citilog has been dedicated to research in transportation and safety. This commitment defines our very existence —delivering intelligent transportation solutions that create safer, smarter journeys for millions of drivers worldwide.
- 1997 – Citilog SA founded in Paris, emerging from research at IFFSTAR.
- 2005 – Pioneered the transition from analog to network video in traffic monitoring.
- 2012 – Launched the first video analytics solutions embedded in standard cameras.
- 2021 – Joined the TagMaster Group, expanding global reach and innovation capacity.
- Today – Advancing AI and deep learning to redefine incident detection.
About TagMaster AB
TagMaster is a leading provider of data solutions and advanced sensor systems for Smart Cities and Intelligent Transportation Systems (ITS). As a key technology supplier in the ITS sector, TagMaster serves authorities and road operators directly and through channel partners. Learn more at www.tagmaster.com.