AI for smart cities and intelligent transportation
our software is designed to automate processes, reduce risks and reaction times
Problems we solve
RoadAR Analytics is a video analytics system for detecting events, dangerous and potentially dangerous situations (accidents, abandoned objects, fire, smoke, etc.); counting objects (pedestrians, vehicles), analyzing the situation (control of sterile zones, search for deviations, etc.) and technical monitoring.
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Reduction of the required staff of operators
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Reduction of reaction time to important events
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Automated statistics collection and analysis
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Minimizing the risk of missing important events
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Optimization of event search in the archive
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Prevention of dangerous situations
Detection and monitoring
solutions
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Vehicles counting and classification
Learn moreDetection and counting of vehicles are implemented on the basis of a complex of neural networks optimized for running on a CPU or GPU
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Accidents detection
Learn moreThe RoadAR system allows you to quickly detect the facts of an accident and notifies the operator of the need to act according to the instructions.
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Vehicle ALPR, make/model and color recognition
Learn more“RoadAR Numbers” is a system developed by us to collect vehicle data in photo, video recording and video surveillance systems.
Features
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Real-time
Vehicle detection and counting are implemented on the basis of a complex of neural networks optimized for CPU or GPU operation. Vehicle detection and counting are implemented on the basis of a complex of neural networks optimized for CPU or GPU operation
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High accuracy
Vehicle detection and counting are implemented on the basis of a complex of neural networks optimized for CPU or GPU operation. Vehicle detection and counting are implemented on the basis of a complex of neural networks optimized for CPU or GPU operation
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Cost-effective
Vehicle detection and counting are implemented on the basis of a complex of neural networks optimized for CPU or GPU operation. Vehicle detection and counting are implemented on the basis of a complex of neural networks optimized for CPU or GPU operation
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Efficient and reliable
Vehicle detection and counting are implemented on the basis of a complex of neural networks optimized for CPU or GPU operation. Vehicle detection and counting are implemented on the basis of a complex of neural networks optimized for CPU or GPU operation
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Easy deployment
Vehicle detection and counting are implemented on the basis of a complex of neural networks optimized for CPU or GPU operation. Vehicle detection and counting are implemented on the basis of a complex of neural networks optimized for CPU or GPU operation
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Proven technology
Vehicle detection and counting are implemented on the basis of a complex of neural networks optimized for CPU or GPU operation. Vehicle detection and counting are implemented on the basis of a complex of neural networks optimized for CPU or GPU operation
How it works
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Detection
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Data processing
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Management (VMS)
Multipurpose solution
Computer vision and AI used in video surveillance systems makes it possible to solve tasks in automatic mode without human participation (sometimes with just human verification or in totally automated mode). Technology is used both to ensure security and to improve business efficiency in transportation, smart cities, warehouses, retail and many other spheres.
- Automation of access control systems (SKD)
- Tracking objects
- Detection and recognition of sitations
- Object recognition in difficult conditions
- Classification and identification of objects
You can do more with our solutions
Our software is designed to prevent and provide a quick response in case of negative events, minimize their consequences, to improve the efficiency of security services - while you can concentrate on other important business tasks.
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High accuracy “out of the box”
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Quality can be improved after retraining
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Flexible fine tuning