Smart traffic surveillance camera systems and what you need to know

NGÀY ĐĂNG 31/10/2025

Võ Hồng Tiên

Smart traffic surveillance camera systems are becoming an indispensable part of the management and operation of highways in Vietnam. The system is a technology application solution to optimize traffic management, control and safety. This system uses cameras integrated with artificial intelligence (AI), machine learning and image analysis, helping to automatically recognize license plates, detect violations, and monitor traffic flow in real time.

What is a smart traffic surveillance camera system?

A smart traffic surveillance camera system is a modern solution using high technology to manage and control traffic. The surveillance camera system not only records images but also has the ability to analyze and process data to optimize monitoring efficiency and support traffic operations.

Main components of the system

• Surveillance cameras: usually PTZ cameras with the ability to adjust the rotation angle and zoom. These cameras are often high resolution with the ability to record in all weather conditions, light and night vision. These cameras are installed at important traffic points such as: on highways, intersections, roundabouts, overpasses, and crowded areas.
• Image processing software: Integrating AI and Machine Learning to identify, analyze vehicles, count vehicles, detect accidents, or traffic violations such as running red lights.
• Sensors and IoT devices: are often mounted at traffic points to measure traffic volume, speed, emissions and other indicators to help assess traffic situations and air quality.
• Central control system: this is where data from cameras and sensors is sent to monitor and control traffic in real time.
• Monitoring screen and control interface: helps managers easily monitor traffic points through Video Wall with the ability to display visual data about traffic events and warnings.

Operating principle

The smart traffic surveillance camera system operates according to the following process:

Recording & collecting data

• Cameras and sensors continuously record images, speed, and direction of movement of vehicles.
• Analysis & recognition: Data is transmitted to the central processor.

AI analyzes images to:

• Recognize license plates (ANPR).
• Classify vehicles (cars, motorbikes, trucks, buses, etc.).
• Detect violations such as running red lights, driving in the wrong lane, and stopping and parking illegally.

Transmit data to the control center

• Images and violation information are sent to the traffic center.
• The system can automatically compare with the vehicle database to create a fine.

Storage & reporting

• Data is saved for investigation, statistics, and traffic reporting.
• A dashboard can be integrated to display real-time traffic status.

» See article: Explore AI technology on surveillance cameras

Outstanding functions

License plate recognition (ANPR)

• The camera uses AI technology to accurately identify vehicle license plates, even in low light conditions and at high speeds.
• Supports quick comparison with the database to detect vehicles that violate the law or are stolen.

Vehicle classification and counting

• The system automatically distinguishes vehicle types: motorbikes, cars, trucks, buses, containers, etc.
• Provides accurate data for real-time traffic density statistics.

Violations detection and warning

Detect common errors and send warnings to the control center for timely handling.

• Running red lights
• Speeding
• Wrong lane
• Stopping/parking in violation of regulations
• Not wearing a helmet

Measuring vehicle speed

• Combining radar and image sensors to accurately measure vehicle speed.
• Helps detect and record speeding behavior, ensuring safety on highways.

Support for fines

• Save evidence of violations with images/videos.
• Automatically extract vehicle data, license plate, time, location.
• Connect to the national database to serve transparent fines.

Integrate with the smart traffic system

• Link with traffic lights to adjust light time according to traffic volume.
• Support management of smart parking lots, non-stop toll stations (ETC).
• Play an important role in the Smart City model.

Centralized management & reporting

• Intuitive interface displays real-time traffic status.
• Automatically synthesize reports of violations, traffic volume, and congestion.
• Provide data to support management agencies in making accurate decisions.

The role of smart traffic surveillance camera systems

• Smart traffic surveillance camera systems help automatically detect violations such as: running red lights, speeding, wrong lane, not wearing helmets, etc.
• The system helps monitor areas where accidents or traffic jams often occur to provide timely preventive measures and handling directions.
• Cameras help collect data on traffic volume, helping traffic management agencies assess traffic situations, thereby providing appropriate regulation options.
• When congestion is detected, the system will notify the control center to propose solutions such as adjusting traffic lights and traffic flow.
• Data collected from cameras helps evaluate the effectiveness of traffic measures implemented, thereby adjusting and improving these measures.
• Cameras provide detailed visual evidence of the accident scene, based on images from the camera, it is possible to determine the fault of each traffic participant, thereby objectively determining responsibility.
• Data from the camera is integrated into mobile applications, providing information about the actual traffic situation to users, helping them choose the most suitable route.

Challenges in Deployment

High Initial Investment Costs

• Smart traffic camera systems require high-resolution cameras, sensors, AI processors, data centers, and transmission infrastructure.
• Large-scale, synchronous deployment (especially in large cities and highways) costs a lot of money to install and operate.

Network Infrastructure and Data Storage

• Cameras continuously record and transmit large amounts of data.
• Requires high-speed network infrastructure (optical fiber, 4G/5G) and a powerful enough storage system (server, cloud).
• Managing and securing large amounts of data is also a big challenge.

Accuracy in real-world conditions

• Low light, bad weather (rain, fog), or high traffic density can affect the ability to recognize license plates and analyze images.
• The system needs to be calibrated and upgraded regularly to ensure accuracy.

Information Security and Privacy

• Images, vehicle data, and personal information need to be strictly secured.
• Without a transparent management policy, people may worry about being over-monitored.

System integration and synchronization requirements

• The system is only effective when integrated with traffic lights, vehicle databases, and urban operations centers.
• If deployed separately and without synchronization, it will cause waste and make it difficult to fully exploit its functions.

Human resources for operation and management

• Requires a technical team with expertise in AI, IoT, cybersecurity, and data analysis.
• Need to train personnel to operate the monitoring center and maintain equipment regularly.

Contact for Consultation

KPS is the official distributor of Bosch. We provide surveillance cameras, DVRs, and specialize in offering security monitoring solutions for projects across Vietnam. Additionally, KPS supplies equipment for fire alarm systems, public address systems, and more from Bosch.

KPS has a team of well-trained engineers and technicians capable of consulting and implementing complex solutions. We are committed to providing genuine products from Legrand, imported directly from the manufacturer with complete documentation, along with warranty and technical support services to international standards.

Stay updated with the latest news on our Fanpage: KPS System Corp