AI-Smart City

The efficient and intelligent management of cities is a challenging and requires advanced technological solutions that enable informed decision-making and proactive actions to make the city a safe and livable place for citizens.

AI-Smart-City is A.I. Tech’s solution for turning surveillance cameras installed in a city into smart sensors that can collect data on vehicles and people flows and behaviors, but also identify potentially dangerous situations such as the presence of fire.

The video analytics applications composing this solution are based on the latest Artificial Intelligence technologies and optimized to be installed not only on servers, but also on board of cameras or integrated systems. In addition, thanks to the support of different standard network protocols, they can communicate with most of the systems already present in operations centers as well as with the most popular Video Management Systems (VMS).

To complete the solution there is AI-DASH an interactive web dashboard to collect, visualize, and analyze statistical and historical data, alarms, and perform forensic research (where necessary).

The entire solution is designed to ensure the privacy of citizens, so it does not require the transmission of images or video to external systems, and all transmitted information is anonymized preventing it from being used directly to identify people and/or vehicles.

AI-SmartCity

AI-SMART-CITY is a video analytics application that includes all the features needed to collect data to manage a modern smart city, through the analysis of vehicles and people with advanced deep learning algorithms. The software includes the functionality found in AI-TRAFFIC-DEEP and AI-CROWD-DEEP to provide a comprehensive and configurable solution. Regarding vehicles, the solution enables counting and classification of vehicles crossing a virtual sensor in a given direction.
The classes of vehicles detected: motorcycles, cars, trucks, buses, and bicycles.
AI-SMART-CITY also makes it possible to estimate the color and average speed of vehicles, generating an alert where that speed is above a configurable threshold, determine traffic density in real time, and monitor vehicular flows using the origin-destination matrix. The application can also be used to detect dangerous behavior or abnormal situations on the road in real time, such as wrong-way vehicles, stopped vehicles, reversing vehicles, pedestrians lingering in prohibited areas, or queuing.
AI-SMART-CITY enables advanced analysis of people’s behavior in both indoor and outdoor environments. The solution makes it possible to estimate the number of people within one or more areas of interest and performs a count of people crossing a virtual line. In addition, it is possible to generate an alarm in case of situations of overcrowding, assemblages of people, loitering, or excessive stay of people in an area.

AI-SMART-CITY is the ideal tool for public administrations that decide to enhance the functionality of their video surveillance systems through the use of advanced artificial intelligence-based video analytics solutions, including reusing cameras already installed in the city.

The solution makes it possible to detect abnormal behavior, such as people lingering in an area for too long (loitering), or people standing still (e.g., for detecting vandalism, such as graffiti). It can also be a valuable support to the management of regulations due to pandemics, as it allows the identification of potential danger solutions such as gatherings or situations where social distances are not respected.

AI-SMART-CITY plus also help to reduce emissions by allowing traffic analysis and traffic improvements, or in combination with new street lighting systems it can allow light intensity to be adjusted based on the presence of vehicles or people.

AI-SMART-CITY is the convergence of the functionality of different applications designed to meet the needs of cities in monitoring and managing vehicles.

In fact, the application makes it possible to analyze vehicular flows in the various city arteries, through the counting of vehicles and the use of origin-destination matrices, as well as estimate the average speed of vehicles, allowing the identification of sections where the average speed is higher. In addition, the solution allows for the detection of potentially dangerous situations on the road, such as a queueing, wrong-way or reversing vehicle, or even the presence of a pedestrian on the road in non-permitted areas, such as emergency lanes.

AI-SMART-CITY can also be used for tunnel monitoring or in highway environments.

Ultimately, the solution enables the collection of data needed to make
informed decisions to both improve road safety and the livability of cities, it also enables optimization of vehicular flows.

AI-SmartCity is a multi-platform application, and can be installed on more than 20 different hardware platforms including cameras (edge), small processing systems (embedded devices), workstations and servers.

Edge

Embedded

Server

If you have chosen to use a server-based solution, please connect to our system design support portal: AI-DESIGNER.

AI-SmartCity allows you to send information about vehicles that passed through an area placed under analysis, specifically:

Type of vehicle
Color
Average speed

It also allows an alert to be sent if the estimated average speed of a vehicle exceeds a configurable threshold.

AI-SmartCity supports more than 20 notification protocols, which include third-party VMS, standard protocols (such as HTTP, FTP, MODBUS, and MQTT), and A.I. Tech’s proprietary protocols, which enable notification of events to A.I. Tech dashboards. You can get more details on the notification mechanisms available at the following link.

AI-SmartCity allows alarms to be sent to over 10 VMSs, where you do not have a VMS you can use AI-DASH due to the built-in alarm management functionality.

Installation constraints

Video tutorial

Online help

Flyer

AI-Traffic

AI-TRAFFIC is the video analytics solution based on the most advanced artificial intelligence algorithms that includes all the features found in the AI-ROAD3D and AI-INCIDENT apps, such that it can meet all kinds of needs in the smart road environment.
Specifically, AI-ROAD3D enables counting and classification of vehicles crossing a virtual sensor in a given direction. Three classes of vehicles are detected: motorcycles, cars, and trucks. The application is also capable of estimating the color and average speed of vehicles, generating an alert where that speed is above a configurable threshold. It also allows real-time determination of traffic density and monitoring of vehicular flows using the origin-destination matrix.
AI-INCIDENT is the solution for detecting abnormal situations on the road, such as vehicles driving on contra-roads, stopped vehicles, reversing, or pedestrians lingering in prohibited areas. Finally, it is able to determine any queuing in real time. Image analysis is performed in AI-TRAFFIC by combining an advanced 3D calibration and reconstruction mechanism of the 3D scene along with the most advanced computer vision and artificial intelligence algorithms.
As well as the AI-ROAD3D and AI-INCIDENT apps, AI-TRAFFIC also uses advanced deep learning algorithms to detect and classify objects in the scene (distinguishing vehicles and people); ensuring high accuracy even in extremely complex scenarios, such as in tunnels or crowded city streets, at night or in adverse weather conditions.

AI-TRAFFIC(-DEEP) includes the functionality of different apps designed to meet the most diverse needs of any city that wants to call itself “smart.” In fact, the app makes it possible to understand and analyze vehicular flows on the various city arteries by counting the various categories of vehicles. Analyzing the average speed of vehicles on the various routes also makes it possible to define the roads crossed with a higher average speed (possibly higher than a set threshold), thus suggesting an optimal location for the placement of patrols or automatic systems that can be used for sanctioning purposes. The app also makes it possible to identify potentially dangerous situations on the road, such as a queue or a vehicle crossing a road against the wrong way, or even the presence of a pedestrian on the road.

AI-TRAFFIC(-DEEP) can also be used for tunnel monitoring or on highways.

AI-Traffic is a multi-platform application, and can be installed on more than 20 different hardware platforms including cameras (edge), small processing systems (embedded devices), workstations and servers.

Edge

Embedded

Server

If you have chosen to use a server-based solution, please connect to our system design support portal: AI-DESIGNER.

AI-Traffic supports all data and alerts from AI-Incident and AI-Road3D applications

AI-Traffic supports more than 20 notification protocols, which include third-party VMS, standard protocols (such as HTTP, FTP, MODBUS, and MQTT), and A.I. Tech’s proprietary protocols that enable event notification to A.I. Tech dashboards. You can get more details on the notification mechanisms available at the following link.

AI-Traffic allows alerts to be sent to over 10 VMSs, where you do not have a VMS you can use AI-DASH-PRO due to the built-in alarm management functionality.

Installation constraints

Video tutorial

Online help

Flyer

AI-Road3D

AI-ROAD3D is the video analytics application for counting and classifying vehicles, in real time, passing through a virtual sensor. The classes of vehicles detected are motorcycles, cars, buses, trucks and bicycles. The application can estimate the color and average speed of identified vehicles, generating an alert where the speed is above a configurable threshold. It is also possible to estimate traffic density, and through advanced calibration AI-ROAD3D can perform a 3D reconstruction of the scene. Finally, it is possible to monitor the flow of vehicles at traffic circles and intersections through the constriction of an origin-destination matrix directly on the application.
AI-ROAD3D uses advanced deep learning algorithms to detect and classify moving objects ensuring high accuracy even in complex scenarios, such as tunnels or in crowded city streets, at night or in adverse weather conditions.

AI-ROAD3D makes it possible to meet the needs of any city that wants to call itself “smart,” thanks to the possibility of understanding and analyzing vehicular flows on the various city arteries by counting the various categories of vehicles. Analyzing the average speed of vehicles on the various routes also makes it possible to define the roads crossed with a higher average speed (possibly higher than a set threshold), thus suggesting an optimal location for the placement of patrols or automatic systems that can be used for sanctioning purposes.

AI-ROAD3D can also be used for tunnel monitoring or in highway environments.

Finally, through combination with the AI-DASH-PRO dashboard, the app can be used for parking monitoring by counting vehicles at the gates.

AI-Road3D is a multi-platform application, and can be installed on more than 20 different hardware platforms including cameras (edge), small processing systems (embedded devices), workstations and servers.

Edge

Embedded

Server

If you have chosen to use a server-based solution, please connect to our system design support portal: AI-DESIGNER.

AI-Road3D allows you to send information about vehicles that passed through an area placed under analysis, specifically:

Type of vehicle
Color
Average Speed

It also allows an alert to be sent if the estimated average speed of a vehicle exceeds a configurable threshold.

AI-Road3D supports more than 20 notification protocols, which include third-party VMSs, standard protocols (such as HTTP, FTP, MODBUS and MQTT) and A.I. Tech’s proprietary protocols, which allow notification of events to A.I. Tech dashboards. You can get more details on the notification mechanisms available at the following link.

AI-Road3D allows alarms to be sent to more than 10 VMSs, where you do not have a VMS you can use AI-DASH-PRO due to its built-in alarm management functionality.

Installation constraints

Video tutorial

Online help

Flyer

AI-Incident

AI-INCIDENT is the video analysis application for detecting abnormal and dangerous situations on the road in real time, such as vehicles passing on the wrong side of the road, stopped vehicles, U-turns, lane changes, pedestrians lingering in prohibited areas and queuing.
AI-INCIDENT combines an advanced three-dimensional 3D scene calibration and reconstruction mechanism together with the most advanced computer vision and artificial intelligence algorithms.
The application uses deep neural networks to detect and classify objects in the scene (distinguishing vehicles and people), ensuring high accuracy even in extremely complex scenarios, such as in tunnels or crowded city streets, at night or in adverse weather conditions.

AI-INCIDENT makes it possible to respond to the needs of any city that wants to call itself “smart,” thanks to the ability to identify potentially dangerous situations on the road, such as a queue or a vehicle crossing a road against the grain, or even the presence of a pedestrian on the road.

AI-INCIDENT can also be used for monitoring tunnels or in highway environments.

AI-Incident is a multi-platform application, and can be installed on more than 20 different hardware platforms including cameras (edge), small processing systems (embedded devices), workstations and servers.

Edge

Embedded

Server

If you have chosen to use a server-based solution, please connect to our system design support portal: AI-DESIGNER.

AI-Incident can send alerts when the following situations are detected:

Vehicles on the wrong side of the road
Presence of pedestrians in areas where people are not allowed to pass or stop
Presence of stationary vehicles in the roadway

AI-Incident supports more than 20 notification protocols, which include third-party VMS, standard protocols (such as HTTP, FTP, MODBUS, and MQTT), and A.I. Tech’s proprietary protocols, which enable notification of events to A.I. Tech dashboards. You can get more details on the notification mechanisms available at the following link.

AI-Incident allows alarms to be sent to more than 10 VMSs, where you do not have a VMS you can use AI-DASH-PRO due to the built-in alarm management functionality.

Installation constraints

Video tutorial

Online help

Flyer

AI-Crowd-Deep

Using the most advanced vision and artificial intelligence algorithms, combined with a deep neural network capable of detecting the people within the scene, AI-CROWD-DEEP can estimate the number of people within an area. It also can fire an alarm in case of overcrowding situations (i.e., the number of people within an area is above a certain threshold), in case of gatherings, or where the social distance between people is not respected.
AI-CROWD-DEEP can be used in both indoor and outdoor environments, providing 90% accuracy and recall.

AI-CROWD-DEEP is the video analytics solution designed to meet various needs that may occur in buildings, museums, restaurants, stores, malls, airports, stations or in the various areas of the city.

AI-CROWD-DEEP is the fundamental tool for marketers to understand how visitors move through their sales area, determining the most crowded and the least crowded areas. On the other hand, that is, what you do not know cannot be improved. It is at the same time the ideal tool to carry out checkout management by minimizing the waiting time in queues and thus improve the customer experience: for example, it is possible to detect the number of people waiting to make payment and alert staff to open a new checkout, or even carry out the automatic single checkout management mechanism.

AI-CROWD-DEEP is also the necessary tool for monitoring crowds on platforms in a station or at gates in an airport, in order to automatically identify crowds and suggest visitors to respect social distances.

With the ability to operate reliably in both indoor and outdoor environments, including combined with existing surveillance cameras as well as with next-generation cameras, AI-CROWD-DEEP is also found to be the key tool for smart management of a city, whereby on the one hand it is necessary to know how citizens move within the city, and on the other hand to provide the citizen with a support tool with respect to ensuring compliance with good social distancing rules.

AI-Crowd-Deep is a multi-platform application, and can be installed on more than 20 different hardware platforms including cameras (edge), small processing systems (embedded devices), workstations and servers.

Edge

Embedded

Server

If you have chosen to use a server-based solution, please connect to our system design support portal: AI-DESIGNER.

AI-Crowd Deep periodically sends a notification containing the estimated number of people within one or more areas placed under analysis.

In addition, AI-Crowd Deep can be configured to send an alert in the following situations:

Presence of assemblages: groups of two or more people are present in the scene at close range. In this case, the distance and minimum number of people can be configured by the user.
Violation of social distances: two or more people have an interpersonal distance below a configurable threshold.
Overcrowding: the estimated number of people identified exceeds a threshold value chosen by the user.

AI-Crowd Deep supports more than 20 notification protocols, which include third-party VMS, standard protocols (such as HTTP, FTP, MODBUS, and MQTT), and A.I. Tech’s proprietary protocols that enable event notification to A.I. Tech dashboards. You can get more details on the notification mechanisms available at the following link.

When AI-Crowd Deep is used to monitor overcrowded situations or assemblies the ability to send alerts to more than 10 VMSs may be of interest. Where a VMS is not available, AI-DASH-PRO can be used because of its built-in alarm management functionality.

Installation constraints

Video tutorial

Online help

Flyer

AI-Crowd-Counting

AI-CROWD-COUNTING is a video analytics application that leverages cutting-edge artificial intelligence technologies to accurately estimate the number of people present in highly crowded settings. This solution can operate effectively even in extremely crowded situations.
AI-CROWD-COUNTING complements the functionality found in AI-CROWD-DEEP by providing an additional tool for managing highly crowded situations, such as concerts, sporting events, or street events. In addition, it can be used in conjunction with AI-DASH to store and analyze historical and aggregate information.

The scope of application of AI-CROWD-COUNTING is broad, with an emphasis in the smart city arena. For example, the application can be used for monitoring squares and streets during public events and demonstrations, ensuring effective crowd control and public safety. In addition, AI-CROWD-COUNTING can be used for monitoring stadiums or large arenas during concerts and performances, providing a valuable tool for managing audience dynamics and optimizing event logistics.

In the retail environment, for estimating the number of people in stores or shopping malls, even in crowded situations such as on days of sales, special promotions or the opening of new stores.
Finally, the app can be successfully used in transportation in airports or stations, for monitoring passenger flows.

AI-Crowd-Counting is a multi-platform application, and can be installed on more than 20 different hardware platforms including cameras (edge), small processing systems (embedded devices), workstations and servers.

Edge

Embedded

Server

If you have chosen to use a server-based solution, please connect to our system design support portal: AI-DESIGNER.

AI-Crowd-Counting supports standard protocols for sending images (such as HTTP and FTP) as well as A.I. Tech’s proprietary protocols that enable event notification to A.I. Tech dashboards. You can get more details on the notification mechanisms available at the following link.
Try AI-Crowd-Counting together with AI-DashPRO to take full advantage of the potential of this application.

Video tutorial

Online help

Flyer

AI-Weather

AI-WEATHER is the video analytics application, based on artificial intelligence, designed to monitor the state of the road surface (whether dry, wet or flooded) and the weather conditions of the environment, identifying the presence of sun, rain, snow, clouds, fog and low visibility situations.
AI-WEATHER is the ideal solution for using cameras installed on roads, both in urban and suburban environments, to collect data to be used for statistical purposes, intelligently drive poles with adaptive lighting, or even to generate alerts in case of potential dangerous situations (e.g., flooded tunnel or low visibility on the road).

AI-WEATHER can be successfully deployed on roads and highways in order to warn of dangerous situations, informing drivers and/or the relevant authorities in real time. On highways, for example, drivers can be notified on variable message signs of low visibility situations, adverse weather conditions or flooding.

Flood detection can, in addition, be used in tunnels and underpasses, possibly preventing vehicle access and transit. Finally, it can be used to monitor infrastructure, such as power plants, hospitals, or industrial facilities, in order to prevent flood damage.

Data on weather, visibility, and road surface condition are the key tool for commissioning the smart pole capable of performing adaptive lighting (smart lighting).

Looking forward, the extracted data can be historicized and used to identify trends and patterns, helping in future prevention.

AI-Weather is a multi-platform application, and can be installed on more than 20 different hardware platforms including cameras (edge), small processing systems (embedded devices), workstations and servers.

Edge

Embedded

Server

If you have chosen to use a server-based solution, please connect to our system design support portal: AI-DESIGNER.

AI-Weather supports more than 20 notification protocols, which include third-party VMS, standard protocols (such as HTTP, FTP, MODBUS, and MQTT), and A.I. Tech’s proprietary protocols, which enable notification of events to A.I. Tech dashboards. You can get more details on the notification mechanisms available at the following link.

AI-Weather allows alarms to be sent to over 10 VMSs, where you do not have a VMS you can use AI-DASH due to the built-in alarm management functionality.

Installation constraints

Online help

Flyer

AI-Rail

AI-RAIL is the video analytics application for detecting obstacles on tracks. The software, based on deep neural networks, can distinguish the following categories of obstacles: people, vehicles and rocks.
The application also can identify the presence of passing trains 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 it from generating alarms while the level crossing is open, and thus allow unrestricted vehicle passage.
AI-RAIL can be used both for monitoring level crossings, in order to verify that they are clear, and in the proximity of tunnels or rocky ridges, where the danger of rockfall is substantial.

AI-RAIL is the solution for securing people and assets in the railway environment. There are two main application scenarios in which this application finds natural use.
At level crossings, there is a need to check for obstacles (such as people and vehicles) obstructing train passage when the barrier is closed. Therefore, the application can be expected to be activated via external inputs, either via software (API) or via hardware (via I/O device), only when the level crossing is closed and deactivated during its normal use.
Conversely, in tunnels, exiting tunnels or near rocky ridges, the system must be in continuous operation. However, in order to reduce the number of false alarms, it is expected that the system will deactivate during train passage, due to the possibility of identifying through artificial intelligence the presence of a train.

AI-Rail is a multi-platform application, and can be installed on more than 20 different hardware platforms including cameras (edge), small processing systems (embedded devices), workstations and servers.

Edge

Embedded

Server

If you have chosen to use a server-based solution, please connect to our system design support portal: AI-DESIGNER.

AI-Rail allows license plates to be sent via more than 20 communication protocols, which include third-party VMS, standard protocols (such as HTTP, FTP, MODBUS and MQTT) and A.I. Tech’s proprietary protocols, which enable notification of events to A.I. Tech dashboards. You can get more details on the notification mechanisms available at the following link.

Installation constraints

Online help

Flyer

AI-Fire+

AI-FIRE+ is the video analytics application that, through the use of deep neural networks, enables early detection of flames and smoke.
The app is especially useful in all those environments where traditional fire sensors are ineffective or cannot be used, such as large indoor environments, or outdoor environments, such as factories, parking lots, waste management areas, or even forests and woodlands, even located at a great distance from the camera installation site.
The app does not require the use of thermal cameras, and places no limits on the number of configurable areas within the framed scene.

AI-FIRE+ is the ideal video analytics solution to meet the needs of securing environments. The app can be used in indoor environments (e.g., homes, museums, shopping malls, factories, warehouses), but also in outdoor environments (such as parks, landfills, or storage sites).

AI-Fire+ is a multi-platform application, and can be installed on more than 20 different hardware platforms including cameras (edge), small processing systems (embedded devices), workstations and servers.

Edge

Embedded

Server

If you have chosen to use a server-based solution, please connect to our system design support portal: AI-DESIGNER.

AI-Fire+ allows alarms to be sent when the presence of flames is detected within an area placed under monitoring.

AI-Fire+ supports more than 20 notification protocols, which include third-party VMS, standard protocols (such as HTTP, FTP, MODBUS, and MQTT), and A.I. Tech’s proprietary protocols, which allow notification of events to A.I. Tech dashboards. You can get more details on the notification mechanisms available at the following link.

AI-Fire+ allows alarms to be sent to more than 10 VMSs, where you do not have a VMS you can use AI-DASH-PRO due to the built-in alarm management functionality.

Installation constraints

Video tutorial

Online help

Flyer

AI-Lost

AI-LOST is the video analytics app, based on the most advanced computer vision algorithms, that can detect the presence of abandoned or removed objects in areas of interest.
The app places no limits on the number of virtual sensors that can be defined within the framed scene and can be used in both indoor and outdoor environments and in combination with both traditional and thermal cameras.

AI-LOST is the ideal video analysis solution to meet security needs. In fact, it can be installed to detect abandoned objects such as suspicious luggage in public places such as stations, universities, plazas, shopping malls, museums, or for automatic detection of litter in streets and parks.

AI-LOST can at the same time be a useful tool for theft detection in museums through the detection of removed objects such as paintings or statues.

AI-Lost is a multi-platform application, and can be installed on more than 20 different hardware platforms including cameras (edge), small processing systems (embedded devices), workstations and servers.

Edge

Embedded

Server

If you have chosen to use a server-based solution, please connect to our system design support portal: AI-DESIGNER.

AI-Lost allows alarms to be sent in the following situations:

An object is placed in the area placed under monitoring and stays beyond a configurable time interval.
An object in the area placed under monitoring is picked up.

AI-Lost supports more than 20 notification protocols, which include third-party VMS, standard protocols (such as HTTP, FTP, MODBUS, and MQTT), and A.I. Tech’s proprietary protocols, which enable notification of events to A.I. Tech dashboards. You can get more details on the notification mechanisms available at the following link.

AI-Lost allows alarms to be sent to over 10 VMSs, where you do not have a VMS you can use AI-DASH-PRO due to the built-in alarm management functionality.

Installation constraints

Video tutorial

Online help

Flyer

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-VIOLATION is a key tool for public administration, as it allows them to identify irregularities linked to vehicles passing red lights. Understanding the areas where these violations occur can be a useful indication for the public administration to decide the most suitable position in which to insert the device that will be used for sanctioning purposes.

On the other hand, AI-VIOLATION can also be considered as the ideal solution to be integrated into approved systems for fining purposes.

AI-VIOLATION is a multi-platform application, and can be installed on more than 20 different hardware platforms including cameras (edge), small processing systems (embedded devices), workstations and servers.

Edge

Embedded

Server

If you have chosen to use a workstation or server-based solution, please connect to our system design support portal: AI-DESIGNER.

AI-Violation allows you to send an alarm when a vehicle transit, at a traffic light intersection, with red light.

AI-Violation supports over 20 notification protocols, including third-party VMS, standard protocols (such as HTTP, FTP, MODBUS and MQTT) and A.I. Tech proprietary protocols, which allow the notification of events to the A.I. Tech dashboards. You can get more details on the notification mechanisms available at the following link.

AI-Violation allows you to send alarms to over 10 VMS, where you do not have a VMS you can use AI-DASH-PRO thanks to the integrated alarm management functionality.

Installation constraints

Video tutorial

Online help

Flyer