Intelligent Transportation Systems

Hailo AI Processors for Intelligent Transportation Systems

AI-Powered Intelligent Transportation Systems

Artificial intelligence (AI) is empowering Intelligent Transportation Systems (ITS), to streamline traffic and reduce congestion, enhance safety, and alert about traffic violations and dangerous situations. Applying AI models enables processing of captured images and videos of traffic in real-time and high accuracy, to detect and track vehicles, pedestrians, and other objects.

ITS on the Edge




Cost and efficiency are pushing the required analytics capabilities to the edge of the network, creating demand for higher edge AI processing at lower power and cost. The Hailo processors enable running advanced AI models on the edge, supporting real-time alerts and decision-making, while improving privacy and security. The ability of smart transportation systems to cover a greater area in higher resolution with fewer cameras lowers infrastructure installation and maintenance costs and increases cost-efficiency.



Low latency & higher frame rates

  • Fast-moving vehicle detection
  • Timeliness – video is processed, and alerts and insights are generated in real-time, allowing systems and operators to take immediate actions (important in applications like smart traffic light control and non-stop tolling)

Higher accuracy & reliability

  • Accurate analytics algorithms can be run on high-resolution video, resulting in accurate and timely alerts
  • High resolution allows the camera to cover more of the road, while capturing the smallest details, such as a license plate number or a phone in the driver’s hand

Efficiency & cost-savings

  • Automation and greater operational flexibility are enabled by better ITS systems
  • Lower TCO due to better capabilities and greater level of aggregation. For instance, you can cover a given road segment with fewer cameras
  • Edge AI saves video storage and bandwidth costs, as only metadata (like number of vehicles) can be transmitted

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Ebook: Powerful Edge AI to Empower Intelligent Transportation System
Powerful Edge AI to Boost Intelligent Traffic Monitoring
Whether in the city or outside of it, current traffic monitoring solutions have significant challenges in dealing with increasingly common complex traffic scenarios and more robust AI functionality requirements.
White Paper
Revolutionizing AI Applications at the Edge

AI-Powered LPR




LPR systems use cameras and image processing algorithms to detect the vehicle in the frame, identify its license plate, extract the alphanumeric characters, and compare them against a database for identification or verification purposes.

ITS applications, especially in highways, require high accuracy at high frame rates, to handle challenging conditions, such as high speed, multiple vehicles concurrently, low lighting, varying angles, or occlusions, and still need to accurately detect license plates for accurate billing or ticketing with minimum errors.


Higher Accuracy with Hailo




The high AI capacity of the Hailo processors enables more advanced LPR models which can adapt to different license plate designs, including various languages, fonts, colors, and background patterns, improving the accuracy and reduce the error rate.

Furthermore, the additional AI power can enable advanced capabilities in vehicle access control systems, such as model, make and color recognition (MMCR). This information can be used for further identification or verification purposes and to enforce safety and regulatory policies more effectively and with greater accuracy.

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Automatic License Plate Recognition with Hailo-8
In this blog post, we present Hailo’s License Plate Recognition (LPR) implementation (also known as Automatic Number Place Recognition or ANPR).

Traffic Control

Go Fast, Stay Safe with Hailo AI Processors

The Hailo AI processor enables traffic management systems to gain valuable insights for optimized mobility of people and vehicles in real-time. A Hailo-powered traffic management systems:

  • Improves traffic flow by analysis of congestion, and LPR (License-plate recognition) / ANPR (Automatic number-plate recognition) in multiple lanes and in real time for better road usage and safer mobility. Adapting traffic light by traffic flow and changing lane direction by traffic flow.
  • Improves capacity planning by automated traffic studies and traffic flow analytics for road capacity planning and infrastructure enhancements
  • Enables public transportation prioritization for efficiency increase of urban traffic management to better handle traffic volumes
  • Enables prompt incident handling to minimize its effects as well as prevention of future events by analysis of incident causes

Traffic monitoring systems based on Hailo AI Processor perform real-time and high-performance AI video analytics at the edge from a single or multiple cameras. These systems deliver accurate insights and alerts at low latency at an embedded power budget. The Hailo AI processor small form-factor, low power, and cost-effectiveness capabilities make it ideal for integration in either the traffic cameras or the edge traffic management gateways


Efficient Toll Collection with Hailo

The Hailo processors make collection of tolls or fees in roads, bridges, tunnels, or other transportation infrastructure faster and more accurate.

With the advancement of technology, applications have evolved to incorporate electronic toll collection (ETC) systems, replacing traditional manual processing. AI improves the efficiency and effectiveness by automating processes, improving accuracy and security, enabling high detection rate with high accuracy even for multiple vehicles driving at high speed and in multiple lanes. AI also enables implementation of dynamic pricing models, personalization of user experiences, and facilitation of data-driven decision-making. Tolling systems based on the Hailo AI processors perform real-time high-performance AI video analytics at the edge from a single or multiple cameras delivering accurate insights and alerts at low latency at an embedded power budget. These advancements lead to more efficient toll collection, reduced congestion, improved traffic flow, and enhanced customer satisfaction.

Law Enforcement

Safer Roads with Hailo for Law Enforcement

AI can be used in various ways to enhance the effectiveness and efficiency of law enforcement agencies. With AI, law enforcement can automate repetitive tasks, enhance human decision-making, and provide advanced analytics for better crime prevention and investigation.

Intelligent video monitoring can be applied to:

  • Detecting vehicle and LPR for identification and taking enforcement actions
  • Tracking vehicle direction and driving speeds for speed enforcement
  • Detecting and tracking dangerous driver behavior such as frequent or unlawful
    lane changes , vehicles tailing or cutting off others, vehicles stopped or driving
    on the shoulders
  • Detecting entry into restricted/limited areas, such as bus lanes, cross-section
    areas at predefined times (such as when there is a red light or in a case of a time-of-day conditional turn)
  • Detecting usage of safety measures like seatbelts in cars and helmets for
    motorcycle and bike riders
  • Detecting driver usage of mobile phone or other distractions

To be able to detect vehicles and read license plates or see the seatbelt or phone inside their cabin in scenarios of congestion and/or where the vehicles are moving at high speeds requires real-time (or better) analytics that run on high-resolution video. The deployment may even require more than one camera and video stream. This is the type of deployment powerful, state-of-the-art edge AI processing is meant for.

Smart Parking

Hailo AI Processors for More Intelligent Parking

Even parking lots are getting smarter these days.
As parking spaces get scarcer and cities get more congested, smart and efficient management of shared parking slots is becoming increasingly important. Through the integration of smart sensors, cameras, and machine learning models, parking lot operators can assist users in finding a parking spot more easily and quickly, while optimizing parking space allocation and maximizing revenues.

Real-time information on parking spot availability can be used to guide drivers to vacant spaces, reducing the time and effort required to find a free parking spot, while also reducing the congestion within the parking lot and at the entry / exit point.

The use of AI-powered License Plate Recognition (LPR) technology can be further leveraged to optimize parking utilization, by enabling automatic billing, monitoring parking time and space violations, reducing the time and effort required to enter and exit the parking lot and saving on operational costs.

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Customer Story
Art of Logic: City+ Smart City Security Solution
Customer Story
WiseSight: AI-Automated Parking Enforcement

Breathe life into your edge applications with the Hailo AI processors