The design of a Smart Transportation system requires the use of reliable plugins capable of operating in the most challenging contexts, typically outdoors, in unpredictable weather and lighting conditions.

To this end, A.I. Tech provides you with a wide selection of plugins that, when combined in the right way, can provide a high-quality response to your design needs. They are designed using the most modern Artificial Intelligence methodologies and developed by optimising the code in such a way that, while providing the same functionality and image resolution, they are extremely fast.

One of their special features is that they can be used on multiple hardware platforms: edge side (on cameras), server side, or on the AI Appliance platform. Their integrability is practically unlimited, thanks to the support of most of the communication protocols used today, such as Modbus/TCP and HTTP, to drive Remote/IO devices, as well as about a dozen third-party VMSs.

AI-Incident

AI-INCIDENT is a video analytics app that can detect anomalous situations on the road, such as vehicles driving on the wrong side of the road, stationary vehicles, or pedestrians standing in forbidden zones.  It is also able to assess tailbacks in real time. AI-INCIDENT combines an advanced 3D calibration and reconstruction mechanism of the scene with the most advanced artificial vision and artificial intelligence algorithms.

The application is available in two versions: AI-INCIDENT uses the latest deep learning algorithms to classify moving objects (distinguishing vehicles and people); AI-INCIDENT-DEEP uses deep neural networks for both object detection and classification, ensuring high accuracy even in extremely complex scenarios, such as in tunnels or crowded city streets, at night or in severe weather conditions.

AI-Road3D

AI-ROAD3D is a video analytics app that allows counting and classification of vehicles passing by a virtual sensor in a given direction. Three vehicle classes are considered: motorbikes, cars and trucks. The app also identifies the colour and average speed of each vehicle, and generates an alarm if this speed exceeds a certain threshold chosen by the operator. It is also able to assess traffic volume in real time. AI-ROAD3D combines an advanced 3D calibration and reconstruction mechanism of the scene with the most advanced artificial vision and artificial intelligence algorithms.

The application is available in two versions: AI-ROAD3D uses the latest deep learning algorithms to classify moving objects; whereas AI-ROAD3D-DEEP uses these algorithms for both object detection and classification, guaranteeing high accuracy even in extremely complex scenarios, such as in tunnels or crowded city streets, at night or in severe weather conditions.

AI-Traffic

AI-TRAFFIC is a video analytics application based on the most advanced artificial intelligence algorithms, which includes all the functions of the AI-ROAD3D and AI-INCIDENT apps, thus meeting all the needs that may arise in the smart road field.

AI-ROAD3D counts and classifies vehicles crossing a virtual sensor in a given direction. Three classes of vehicles can be identified: motorbikes, cars and trucks. The app is also able to detect the colour and average speed of each vehicle, and generates an alarm if this speed exceeds a certain threshold chosen by the operator. It also allows real-time assessment of traffic density.

AI-INCIDENT detects anomalous situations on the road, such as vehicles driving on the wrong side of the road, stationary vehicles, or pedestrians in restricted zones.  It is also able to detect tailbacks in real time.  Image analysis is performed in AI-TRAFFIC by combining an advanced 3D calibration and reconstruction mechanism of the scene with the most advanced artificial vision and artificial intelligence algorithms.

Like the AI-ROAD3D and AI-INCIDENT apps, AI-TRAFFIC is available in two versions: AI-TRAFFIC uses advanced deep learning algorithms to classify moving objects (distinguishing vehicles and people); AI-TRAFFIC-DEEP uses deep neural networks for both object detection and classification, ensuring high accuracy even in extremely complex scenarios, such as in tunnels or crowded city streets, at night or in adverse weather conditions.

AI-LPR

AI-LPR-DEEP is a video analytics app that utilises an advanced artificial intelligence algorithm to perform licence plate detection and recognition. Thanks to the use of an innovative engine based on semantic technologies, it also enables automatic correction of license plates based on the specific nationality of the plate (*).

The solution can detect vehicles up to a maximum speed of 230 km/h (depending on the chosen hardware platform) and can be used both indoors (e.g. for monitoring car parks) and outdoors (e.g. for monitoring city streets).

* Countries for which the semantic engine is currently available: Italy.

AI-Violation

AI-VIOLATION is a video analytics app that makes it possible to detect traffic light violations, i.e. vehicles that cross the stop line when the light is red.

The application also allows the identification of the vehicle that has committed this infraction, its vehicle type among the categories of car, motor vehicle and motorbike as well as its estimated colour and average speed.

The detection and tracking of vehicles is based on the use of deep neural networks, as well as the analysis of the traffic light status. In fact, the application is able to determine the status of the traffic light (red, yellow, green) automatically, with only artificial intelligence applied to the processing of the video acquired by the camera, without the need for any physical connection with the traffic light.

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