Vehicle Classification – Machine Learning and AI
Do you have vehicles that need to be classified or identified? Have you thought about using Machine Learning and AI? Discover how our vehicle classification systems may help.
Vehicle Classification Systems
Sensor Dynamics uses computer vision (cameras) combined with our locally developed vehicle classification Machine Learning and AI algorithms to categorise vehicle types into classes.
When a vehicle drives past a camera, we take an image and process it through our edge devices. In real time we can advise what category of vehicle is approaching.
An ideal application of our vehicle classification system that we have rolled out for multiple government departments is to identify and collect data on heavy vehicles. The vehicle classification system identifies heavy vehicles and organises them into different categories to provide data on the type and size of heavy vehicles operating on roads and critical infrastructure such as bridges. The vehicle classification system can also advise on the type and size of leads that are being carried.
The collected data can be used in combination with other sensors such as Weigh-In-Motion (WIM), strain gauges in bridges, and audio sensors to detect noise and air quality monitoring.
The vehicle classification system can also track vehicles operating across areas. Of course, this data can be collected in combination with our vehicle identification systems i.e. License Plate Data.
What is Machine Learning?
What is the difference between AI and Machine Learning
What are the benefits of AI and Machine Learning?
What are the different types of vehicle classes?
What uses does your vehicle classification system have?
Vehicle Classification Made Easy
With our advanced AI and Machine Learning technology, we can quickly identify vehicle classifications and categorise them. With this system, you can collect the necessary data for your operations and plan effectively and efficiently. If you would like to benefit from the latest vehicle classification technology, reach out to our team.
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