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-Traffic

AI-TRAFFIC is a video analytics application based on the most advanced artificial intelligence algorithms, that includes all the functionalities of AI-ROAD3D and AI-INCIDENT, thus meeting the needs in the smart road field.
AI-ROAD3D counts and classifies vehicles crossing virtual sensors in a given direction. Three classes of vehicles can be identified: motorbikes, cars and trucks. The analytics is also able to estimate the color and average speed of each vehicle and fires an alarm if this speed exceeds a customizable threshold. It also allows real-time estimation of traffic density as well as the monitoring of traffic flows through origin-destination matrices.
AI-INCIDENT detects anomalous and dangerous situations on the road, such as vehicles driving on the wrong side of the road, stationary vehicles, U-turs, lane changes, queues and pedestrians in forbidden zones.
AI-TRAFFIC combines 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 uses the latest deep learning algorithms for both object detection and classification (distinguishing vehicles and people) achieving a high accuracy even in extremely complex scenarios, such as in tunnels or crowded city streets, at night or in severe weather conditions.

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 average speed and the time elapsed since the red was turned on.

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.

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-Rail

AI-RAIL is the video analysis application based on advanced artificial intelligence
and deep learning algorithms for the safety of railways through the detection of
obstacles on the tracks. AI-RAIL is able to distinguish the following categories of
obstacles: people, vehicles and boulders.
The application is also able to identify the presence of trains passing on the
tracks and deactivate itself dynamically; it is also possible to activate and
deactivate the application dynamically via software (API) or via hardware (via
I/O device), for example to prevent the app from generating alarms while the rail
crossing is open, and therefore allows the passage of vehicles without any
restrictions.
AI-RAIL can be used both for monitoring rail crossings, in order to verify that
they are clear, and near tunnels or rocky ridges, where the danger of falling rocks
is substantial.

AI-Road3D

AI-ROAD3D is a video analytics application to count and classify vehicles crossing virtual sensors in real time It recognized three classes of vehicles: motorbikes, cars and trucks. The application also estimates the color and average speed of each vehicle and fires an alarm if this speed exceeds a customizable threshold. AI-ROAD3D can estimate traffic density as well as monitoring traffic flows through the origin-destination matrix.
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 uses deep neural networks to detect and classify objects achieving a high accuracy even in extremely complex scenarios, such as in tunnels or crowded city streets, at night or in severe weather conditions.

AI-Incident

AI-INCIDENT is a video analytics application to detect in real time anomalous and dangerous situations on the road, such as vehicles driving on the wrong side of the road, stationary vehicles, u-turs, lane changes, queue or pedestrians in forbidden zones.
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 uses deep neural network to detect and classify objects achieving high accuracy even in extremely complex scenarios, such as in tunnels or crowded city streets, at night or in severe weather conditions.

AI-SmartCity

AI-SMART CITY provides the functionalities to manage a modern city, through the analysis of vehicles and people with advanced deep learning algorithms. AI-SMART CITY includes the features found in AI-TRAFFIC-DEEP and AI-CROWDDEEP to provide a complete and configurable solution.

As for the vehicle, the solution allows you to count and classify vehicles that pass through a virtual sensor in a given direction. There are three classes of vehicles detected: motorcycles, cars and trucks. In addition, AI-SMART-CITY estimates the color and average speed of vehicles, generating an alarm where this speed is higher than a configurable threshold, determining traffic density in real time and monitoring vehicle flows via the origin-destination matrix .

AI-SMART-CITY can also be used to detect dangerous behavior or anomalous situations on the road in real time, such as wrong-way vehicles, stationary vehicles, U-turns, pedestrians staying in prohibited areas, or queuing.

AI-SMART-CITY provides also advanced people analysis features in both indoor and outdoor environments. The solution allows you to estimate the number of people present within one or more areas of interest and counts the people crossing a virtual line. Furthermore, it is possible to generate an alarm in case of overcrowding situations, gatherings of people, loitering or excessive permanence of people in an area.

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