Real-time Traffic Monitoring

Traffic Flow Monitor

Monitoring traffic flow is often demanding: it requires dedicated equipment, network infrastructure, connections, and specialised software. All that takes time and money – no wonder many municipalities can’t afford consistent monitoring of their roads.

What if there was a simpler, affordable, and permanent solution?

Meet GoodVision Traffic Flow Monitor: standalone AI software purpose-made for continuous, real-time traffic monitoring.

The Only Traffic Flow Monitor You’ll Need,

for Projects of Any Scale

A DETAILED VIEW OF TRAFFIC

Automatically monitor traffic flow, count traffic volumes, and obtain parameters such as speed, gaps between vehicles, dwell time or passage time.

CONTINUOUS, AFFORDABLE CONTROL

Monitor traffic levels 24/7/365 at a fraction of the cost, without extra infrastructure, software, or hiring additional operators.

STANDALONE OR INTEGRATED

It can be integrated with the existing application ecosystem or run completely standalone if necessary.

COMPATIBLE AND SCALABLE

Connect Traffic Flow Monitor to the existing cameras directly or via your video management system and seamlessly add new sensors.

Use Traffic Flow Monitor for…

Traffic volume counting
Pedestrian zone monitoring
Construction and work zone monitoring
Managed lanes optimisation
Data-driven urban planning
Road network improvements

Who is Traffic Flow Monitor for?

Highway traffic operators, for traffic optimisation and control purposes.
Long-term traffic surveyors who deliver traffic data to municipalities or engineering companies.
Municipalities that have camera monitoring systems but need a reliable traffic data provider.
Small cities that have few traffic cameras, need the traffic analytics, but do not qualify for large-scale traffic monitoring systems.

Features that make the difference

Traffic Flow Monitor is packed with functionalities to support you in making the best transportation decisions, easier.
Classification scheme customisation is possible
Classification scheme customisation is possible
High detection accuracy, low false alarm rate
High detection accuracy, low false alarm rate
Resistant to weather, camera movement, occlusion, shadow and light effects
Resistant to weather, camera movement, occlusion, shadow and light effects
Fit for motorised and non-motorised traffic
Fit for motorised and non-motorised traffic
Customisable for direction of travel, lane, object class, and other parameters
Customisable for direction of travel, lane, object class, and other parameters
Intuitive operator interface for real-time and historical analysis
Intuitive operator interface for real-time and historical analysis
Periodic and on-demand traffic reports
Periodic and on-demand traffic reports
Long-living system allowing for future extensions, upgrades, and new feature addons
Long-living system allowing for future extensions, upgrades, and new feature addons

Technical requirements

GoodVision Live Traffic product
IP camera
Active account at my.goodvisionlive.com for configuration, management and reporting
Processing unit
• Server for in-house deployment (all major vendors)
• Embedded device for on-site deployment

Video analysis is performed solely on the local device/server. Traffic reports, events, and metrics are transferred to the GoodVision platform.

On-site devices do not store any video or other personal data. This prevents data breaches in case of unauthorized access or intrusion.

Recommended devices for on-site deployment

Up to 4 camera streams:
Lanner EAI-I130B

NVIDIA Jetson Xavier NX
16GB LPDDR4 memory, 16GB eMMC storage
2x GigE Poe LANs, 5G/LTE cellular network connection
WiFi connection (802.11 a/b/gn)

Up to 16 camera streams:
Lanner LEC-2290E

Intel Core i7-9700, NVIDIA Tesla A2
32GB DDR4 RAM, mSATA 128GB + 2.5″ SSD 256GB
2x GbE LAN +4x GbE PoE LAN
Extensions: 5G/LTE cellular network connection, WiFi connection (802.11 a/b/g/n)

Never lose sights of your traffic with GoodVision Traffic Flow Monitor

Explore our other use cases

Helping improve traffic control every step of the way by monitoring traffic in real-time