CITILOG – Smarter mobility through video analytics & AI
Online version
Shaping the Future of Incident Detection
Start 2025 with innovation!
Citilog is excited to announce that the latest version of our Incident Management Solution is released soon, bringing powerful new features to enhance road safety, optimize traffic operations, and address the challenges of 2025.
Key Highlights:
Vulnerable user detection, addressing the safety of new mobility devices.
Enhanced detections on the edge, leveraging artificial intelligence for greater precision.
Intelligent traffic data, offering deeper insights into traffic behavior.
At Citilog, we remain dedicated to delivering smarter, safer, and more resilient traffic solutions. Stay tuned for more details, and to learn more about this upcoming release, reach out to your Citilog representative.
World leader with 25 years of experience and 60,000 video streams analyzed in 50 countries. We offer the best performance on the market, with the highest detection rate and lowest false alarms.
The only global company dedicated to AID, our 10 R&D engineers continually enhance our product using AI. Our unique approach blends traditional pixel-based analytics with the latest deep learning models.
We provide the best total cost of ownership over 10 years, with standard hardware requirements, easy commissioning, annual upgrades, expert tech support, and proven cybersecurity.
Do you want to know more about our solutions and how we can help you?
Citilog creates smarter mobility through video analytics and Artificial Intelligence applied to traffic management solutions. Mastering the latest developments in Deep Learning for video analytics, we enable a smoother, safer journey for millions of drivers around the world. Our intelligent solutions reduce costs and risks for traffic operators, providing smarter tools and ultimately a safer road for the travelers they serve.
EUROPE, MIDDLE EAST AND AFRICA
42/46 Avenue Aristide Briand
92220 Bagneux – France
You have received this mail because according to our information, you have a professional interest in Intelligent Transportation Systems and Smart Cities (Traffic- or Rail Management Solutions, Parking, Tolling or Security Management). We believe that you in your profession, need and rely on relevant and updated information about modern ITS-solutions and technology. Furthermore, to better serve your organisation’s stakeholders and their interests (GDPR Legitimate Interest). You may also receive this mail because you have subscribed to our newsletter, been in contact with us in connection to an event/tradeshow/webinar or similar activity. If you no longer wish to receive Emails from us, you can always change your subscription preferencesor unsubscribe. You can also review our Privacy Policy.
CITILOG – Smarter mobility through video analytics & AI
Online version
CT-ADL (Applied Deep Learning) by Citilog
redefines traffic management
27 Years of Expertise in Revolutionizing Traffic Management
with AID-Optimized Neural Networks.
Discover CT-ADL, Citilog’s cutting-edge technology powered by Artificial Intelligence and Deep Learning. With over 27 years of expertise and a neural network trained on real-world data from 60,000+ cameras worldwide, CT-ADL sets a new standard in traffic management.
Discover how CT-ADL detects wrong-way drivers in seconds, instantly triggering an alarm and mapping the vehicle’s trajectory for complete clarity on the incident!
Here’s why CT-ADL is indispensable:
Unparalleled Accuracy: Reliably detects incidents like stopped vehicles, wrong-way drivers, and pedestrians in restricted zones.
Advanced Capabilities: From smoke detection in tunnels to tracking vulnerable road users such as pedestrians, cyclists, and scooters.
Proven Reliability: Trusted by global leaders for adaptable and precise performance in all conditions.
Ready to learn more about how CT-ADL can revolutionize
your traffic operations?
Explore why Citilog is the unmatched expert in Deep Learning algorithms for traffic management. Don’t miss the opportunity to enhance safety, efficiency, and adaptability on your roads.
World leader with 25 years of experience and 60,000 video streams analyzed in 50 countries. We offer the best performance on the market, with the highest detection rate and lowest false alarms.
The only global company dedicated to AID, our 10 R&D engineers continually enhance our product using AI. Our unique approach blends traditional pixel-based analytics with the latest deep learning models.
We provide the best total cost of ownership over 10 years, with standard hardware requirements, easy commissioning, annual upgrades, expert tech support, and proven cybersecurity.
Do you want to know more about our solutions and how we can help you?
Citilog creates smarter mobility through video analytics and Artificial Intelligence applied to traffic management solutions. Mastering the latest developments in Deep Learning for video analytics, we enable a smoother, safer journey for millions of drivers around the world. Our intelligent solutions reduce costs and risks for traffic operators, providing smarter tools and ultimately a safer road for the travelers they serve.
EUROPE, MIDDLE EAST AND AFRICA
42/46 Avenue Aristide Briand
92220 Bagneux – France
You have received this mail because according to our information, you have a professional interest in Intelligent Transportation Systems and Smart Cities (Traffic- or Rail Management Solutions, Parking, Tolling or Security Management). We believe that you in your profession, need and rely on relevant and updated information about modern ITS-solutions and technology. Furthermore, to better serve your organisation’s stakeholders and their interests (GDPR Legitimate Interest). You may also receive this mail because you have subscribed to our newsletter, been in contact with us in connection to an event/tradeshow/webinar or similar activity. If you no longer wish to receive Emails from us, you can always change your subscription preferencesor unsubscribe. You can also review our Privacy Policy.
CITILOG – Smarter mobility through video analytics & AI
Online version
Pedestrian Detection With Deep Learning
Citilog setting new standards :
Pedestrian Detection in Action
The CT-IM Solution, featuring the Extended Pedestrian Detection, enables the detection of pedestrians on any type of lane, regardless of direction. This capability makes it a powerful tool for enhancing road safety in various transportation environments.
Key Advantages of Extended Pedestrian Detection:
Improved Road Safety:
Drivers benefit from alerts about pedestrian presence, helping to prevent accidents and ensure safer roads.
Real-Time Alerts:
Traffic Operators receive instant notifications, allowing for quick responses to potential incidents.
Flexible Lane Detection:
The system reliably identifies pedestrians across diverse lanes, including traffic lanes, sidewalks, emergency lanes, and shoulders, offering unmatched versatility.
Enhanced Risk Management:
It distinguishes between single and multiple pedestrian events while visualizing pedestrian trajectories, giving operators deeper insights into incident management.
Exceptional Detection Accuracy:
Leveraging deep learning technology, the system delivers precise detection, even in complex scenarios, ensuring consistent performance across all environments.
Proven Effectiveness:
The Extended Pedestrian Detection has been successfully implemented in scenarios such as an equipped tunnel in Boston, highlighting its reliability in real-world applications.
January 21th and 22th – Paris, Beffroi de Montrouge – Booth 13.
World leader with 25 years of experience and 60,000 video streams analyzed in 50 countries. We offer the best performance on the market, with the highest detection rate and lowest false alarms.
The only global company dedicated to AID, our 10 R&D engineers continually enhance our product using AI. Our unique approach blends traditional pixel-based analytics with the latest deep learning models.
We provide the best total cost of ownership over 10 years, with standard hardware requirements, easy commissioning, annual upgrades, expert tech support, and proven cybersecurity.
Do you want to know more about our solutions and how we can help you?
Citilog creates smarter mobility through video analytics and Artificial Intelligence applied to traffic management solutions. Mastering the latest developments in Deep Learning for video analytics, we enable a smoother, safer journey for millions of drivers around the world. Our intelligent solutions reduce costs and risks for traffic operators, providing smarter tools and ultimately a safer road for the travelers they serve.
EUROPE, MIDDLE EAST AND AFRICA
42/46 Avenue Aristide Briand
92220 Bagneux – France
You have received this mail because according to our information, you have a professional interest in Intelligent Transportation Systems and Smart Cities (Traffic- or Rail Management Solutions, Parking, Tolling or Security Management). We believe that you in your profession, need and rely on relevant and updated information about modern ITS-solutions and technology. Furthermore, to better serve your organisation’s stakeholders and their interests (GDPR Legitimate Interest). You may also receive this mail because you have subscribed to our newsletter, been in contact with us in connection to an event/tradeshow/webinar or similar activity. If you no longer wish to receive Emails from us, you can always change your subscription preferencesor unsubscribe. You can also review our Privacy Policy.
CITILOG – Smarter mobility through video analytics & AI
Online version
Advanced Lane Change Detection With Deep Learning
Monitoring Dangerous
Lanes Changes with Precision Alerts
Why this detection is important?
Preventing Collisions
Unsafe lane changes significantly increase the risk of collisions with other vehicles. Detecting these maneuvers enables timely interventions to avoid accidents.
Minimizing Congestion and Delays
By mitigating accidents caused by reckless lane changes, traffic flow becomes smoother and more efficient, reducing delays.
Reducing Secondary Incidents
Unsafe lane changes often result in secondary incidents, such as chain-reaction collisions. Identifying and addressing these risky behaviors helps prevent further accidents and disruptions on the road.
Benefits of Lane change Detection with Deep Learning
A new detection system for safer roads and tunnels: Designed to enhance road and tunnel safety by identifying unsafe driving behaviors.
Detection of hazardous driver behavior: The system actively identifies and highlights risky maneuvers by drivers.
Dynamic bounding box for targeted monitoring: A dynamic bounding box follows the driver in question, providing precise tracking.
Behavior tracking: Tracks and visualizes the driver’s behavior over time for better analysis.
Vehicle classification: Classifies lane-changing vehicles for detailed reporting and analytics.
Non-intrusive detection mode: Operates in silent mode to avoid distracting traffic operators, functioning as a traffic event alert when necessary.
World leader with 25 years of experience and 60,000 video streams analyzed in 50 countries. We offer the best performance on the market, with the highest detection rate and lowest false alarms.
The only global company dedicated to AID, our 10 R&D engineers continually enhance our product using AI. Our unique approach blends traditional pixel-based analytics with the latest deep learning models.
We provide the best total cost of ownership over 10 years, with standard hardware requirements, easy commissioning, annual upgrades, expert tech support, and proven cybersecurity.
Do you want to know more about our solutions and how we can help you?
Citilog creates smarter mobility through video analytics and Artificial Intelligence applied to traffic management solutions. Mastering the latest developments in Deep Learning for video analytics, we enable a smoother, safer journey for millions of drivers around the world. Our intelligent solutions reduce costs and risks for traffic operators, providing smarter tools and ultimately a safer road for the travelers they serve.
EUROPE, MIDDLE EAST AND AFRICA
42/46 Avenue Aristide Briand
92220 Bagneux – France
You have received this mail because according to our information, you have a professional interest in Intelligent Transportation Systems and Smart Cities (Traffic- or Rail Management Solutions, Parking, Tolling or Security Management). We believe that you in your profession, need and rely on relevant and updated information about modern ITS-solutions and technology. Furthermore, to better serve your organisation’s stakeholders and their interests (GDPR Legitimate Interest). You may also receive this mail because you have subscribed to our newsletter, been in contact with us in connection to an event/tradeshow/webinar or similar activity. If you no longer wish to receive Emails from us, you can always change your subscription preferencesor unsubscribe. You can also review our Privacy Policy.
Detect the wrong direction and
track the vehicle’s path.
Why this detection is important?
Avoiding Head-On Collisions:
Wrong-way driving poses a significant risk of head-on collisions, which can lead to severe injuries or fatalities.
Preventing Secondary Incidents:
Wrong-way driving can cause additional accidents as other vehicles attempt to avoid the hazard. Timely detection is essential to prevent these incidents.
Tunnel Safety:
In tunnels, quick detection of wrong-way drivers is crucial due to limited escape routes, ensuring the safety of all users.
Benefits of Wrong-way with Deep Learning
Being able to visualize the track to really understand the event
The track displayed by the CT-IM solution helps the Traffic Operator to understand the situation and to determine the appropriate response.
Not all wrong-way incidents are identical. In some cases, a driver may continue driving against traffic, while in other situations, the driver might correct their course and return to the proper direction after just a few meters.
Reduce the remaining false alarms
False alarms can be a common issue, particularly in bidirectional traffic contexts. Reducing these ensures that operators are only alerted to genuine incidents, allowing for quicker and more efficient responses.
A bounding box following dynamically the wrong-way drive
This dynamically adjusts as the vehicle moves, offering the operator a clear and precise visual of its position and trajectory.
Classify the wrong-way vehicle
Once detected, the system classifies the vehicle, identifying it by type (car, truck, etc.). This allows for better decision-making, as different vehicle types may require distinct responses or safety measures.
World leader with 25 years of experience and 60,000 video streams analyzed in 50 countries. We offer the best performance on the market, with the highest detection rate and lowest false alarms.
The only global company dedicated to AID, our 10 R&D engineers continually enhance our product using AI. Our unique approach blends traditional pixel-based analytics with the latest deep learning models.
We provide the best total cost of ownership over 10 years, with standard hardware requirements, easy commissioning, annual upgrades, expert tech support, and proven cybersecurity.
Achieve up to 88% fewer false Alarms with our latest Deep Learning AID Solution
We are pleased to present two comprehensive case studies that illustrate the significant advancements in Automatic Incident Detection (AID) systems, achieved through the integration of Citilog’s Applied Deep Learning (CT-ADL) technology.
These documents provide valuable insights into how our innovative solution is enhancing detection accuracy and operational efficiency across highways, bridges, and tunnels.
1. Enhancing AID Efficiency on Highways and Bridges with CT-ADL Technology
This case study highlights the successful deployment of CT-ADL technology, which has led to a substantial reduction in false alarms within complex outdoor environments. By filtering out up to 88% of false alarms, the system has markedly improved operational focus and efficiency.
2. Revolutionizing Tunnel Surveillance with CT-ADL Technology
This analysis explores the transition from a legacy AID system to one powered by Deep Learning, resulting in a 75% reduction in false alarms. The report outlines how this advancement enhances safety and operational management in tunnel environments.
These reports offer detailed evaluations of the technology’s impact and its potential for broader application in infrastructure security. We encourage you to explore these findings and learn how Citilog’s solutions are setting new standards in incident detection.
World leader with 25 years of experience and 60,000 video streams analyzed in 50 countries. We offer the best performance on the market, with the highest detection rate and lowest false alarms.
The only global company dedicated to AID, our 10 R&D engineers continually enhance our product using AI. Our unique approach blends traditional pixel-based analytics with the latest deep learning models.
We provide the best total cost of ownership over 10 years, with standard hardware requirements, easy commissioning, annual upgrades, expert tech support, and proven cybersecurity.
