The rapid development of smart cities and their infrastructure requires innovative solutions for traffic monitoring. Fiber optic sensors offer a high-precision, reliable, anonymous, and cost-effective method for real-time traffic data acquisition and analysis. We have developed an AI-based technology, using fiber-optic sensors for comprehensive traffic monitoring systems, enhancing traffic management and safety.
UNMET NEED
Current traffic monitoring systems often face limitations: High deployment and maintenance costs, susceptibility to environmental factors, data privacy management, and inadequate real-time data processing. Traditional cameras depend on environmental conditions and are expensive to deploy, manage, and maintain. There is a growing demand for a durable and cost-effective solution to efficiently monitor and manage traffic flow, ensuring the safety and efficiency of transportation networks while preserving privacy.
OUR SOLUTION
Our solution uses fiber optic sensing technology to provide a complementary and alternative solution for traditional traffic monitoring cameras. With advanced data analytics, we provide real-time traffic monitoring, anomaly detection, and extensive analytics to optimize traffic flow and enhance safety.
The system is designed for easy integration with existing infrastructure, offering a scalable and robust solution for urban and rural areas alike. The system offers several advantages:
1. Integration with Existing Infrastructure: Utilizing dark fiber, our solution requires minimal infrastructure changes and access to only one side of the fiber, making it cost-effective and easy to deploy.
2. Enhanced Monitoring: Our system complements existing camera-based systems, improving tracking and providing centralized monitoring capabilities.
3. Adjustable Monitoring: The monitored route can be changed quickly by fiber routing.
4. Classification and Tracking: Capable of detecting and classifying various types of vehicles and pedestrians, including buses, cars, motorcycles, bicycles, and even pedestrians, as well as tracking moving objects.
5. Privacy-Preserving: Seismic data are anonymous, and vehicles cannot be attributed to a specific owner.
6. High Sensitivity and Reliability: Immunity to environmental factors and vandalism.

APPLICATIONS
1. Smart City & Smart Transportation: providing comprehensive data for urban management and smart city technology.
2. Urban or Highway Traffic Management: Enhancing traffic flow and reducing congestion in cities.
3. Law Enforcement with Cameras: Detecting vehicles that exceed speed limits, private cars on public transport routes, vehicles obstructing traffic, or trucks entering restricted areas.
4. Incident Detection: Rapid detection of accidents and other incidents to improve response times.
5. Homeland Security: Continuous monitoring & surveillance of suspicious vehicles even in places where there is a discontinuity in the deployment of security/traffic control cameras. The fiber can complete the overall monitoring & surveillance picture until reaching areas where there are such cameras.
6. Find fiber optics locations underground for urban planning.
STATUS
Full proof of concept validated by successful pilot projects demonstrating its effectiveness in real-world conditions. Ongoing field tests continue to validate the accuracy and reliability of our calibration technology.
INTELLECTUAL PROPERTY
US provisional patent application, Serial No. 63/663,951, filed June 25, 2024
“METHOD FOR MONITORING TRAFFIC USING CONVOLUTIONAL NEURAL NETWORKS WITH VIDEO SIGNALS OVER DISTRIBUTED FIBER-OPTIC SENSING”
Papers (Under preparation)
Khen Cohen, Liav Hen, and Ariel Lellouch, Training a Distributed Acoustic Sensing traffic analysis network with video inputs.
Khen Cohen, Netanel Nisan, Ofir Nissan, and Ariel Lellouch, Self-calibrating optical fibers using visual guidance.