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TRU for Airports

Real-time analytics to improve the experience and safety of passengers, staff and visitors.

The TRU Recognition Platform can provide significant business value to airports by improving efficiency, enhancing the passenger experience, and reducing costs.

Aircraft Turnaround Recognition
Aircraft Turnaround Recognition
Aircraft Turnaround Recognition automatically detects and identifies the status of an aircraft during its turnaround process. It has the potential to improve safety and operational efficiency in the aviation industry.
Aircraft Turnaround Recognition
Aircraft Turnaround Recognition
Aircraft Turnaround Recognition automatically detects and identifies the status of an aircraft during its turnaround process. It has the potential to improve safety and operational efficiency in the aviation industry.
Aircraft Turnaround Recognition
Aircraft Turnaround Recognition
Aircraft Turnaround Recognition automatically detects and identifies the status of an aircraft during its turnaround process. It has the potential to improve safety and operational efficiency in the aviation industry.
Aircraft Turnaround Recognition
Aircraft Turnaround Recognition
Aircraft Turnaround Recognition automatically detects and identifies the status of an aircraft during its turnaround process. It has the potential to improve safety and operational efficiency in the aviation industry.
Drone Recognition
Drone Recognition
Drone Recognition automatically detects and identifies unmanned aerial vehicles (UAVs), or drones, using a combination of sensors, computer vision techniques, and machine learning algorithms. Drone Recognition can be used in security settings, such as airports or critical infrastructure facilities, to detect and prevent potential security threats posed by drones.
Drone Recognition
Drone Recognition
Drone Recognition automatically detects and identifies unmanned aerial vehicles (UAVs), or drones, using a combination of sensors, computer vision techniques, and machine learning algorithms. Drone Recognition can be used in security settings, such as airports or critical infrastructure facilities, to detect and prevent potential security threats posed by drones.
Drone Recognition
Drone Recognition
Drone Recognition automatically detects and identifies unmanned aerial vehicles (UAVs), or drones, using a combination of sensors, computer vision techniques, and machine learning algorithms. Drone Recognition can be used in security settings, such as airports or critical infrastructure facilities, to detect and prevent potential security threats posed by drones.
Drone Recognition
Drone Recognition
Drone Recognition automatically detects and identifies unmanned aerial vehicles (UAVs), or drones, using a combination of sensors, computer vision techniques, and machine learning algorithms. Drone Recognition can be used in security settings, such as airports or critical infrastructure facilities, to detect and prevent potential security threats posed by drones.
Queue Length Recognition
Queue Length Recognition
Queue Length Recognition automatically detects and measures the length of queues or lines in various settings. It has the potential to improve customer service, resource allocation, wait time management, crowd control, and performance evaluation.
Queue Length Recognition
Queue Length Recognition
Queue Length Recognition automatically detects and measures the length of queues or lines in various settings. It has the potential to improve customer service, resource allocation, wait time management, crowd control, and performance evaluation.
Queue Length Recognition
Queue Length Recognition
Queue Length Recognition automatically detects and measures the length of queues or lines in various settings. It has the potential to improve customer service, resource allocation, wait time management, crowd control, and performance evaluation.
Queue Length Recognition
Queue Length Recognition
Queue Length Recognition automatically detects and measures the length of queues or lines in various settings. It has the potential to improve customer service, resource allocation, wait time management, crowd control, and performance evaluation.
Aggression Recognition
Aggression Recognition
Aggression Recognition automatically detects and identifies aggressive behaviour or signs of aggression in individuals. This technology utilises various methods, such as video analysis, facial expression recognition, and behavioural cues, to analyse and interpret aggressive behaviour.
Aggression Recognition
Aggression Recognition
Aggression Recognition automatically detects and identifies aggressive behaviour or signs of aggression in individuals. This technology utilises various methods, such as video analysis, facial expression recognition, and behavioural cues, to analyse and interpret aggressive behaviour.
Aggression Recognition
Aggression Recognition
Aggression Recognition automatically detects and identifies aggressive behaviour or signs of aggression in individuals. This technology utilises various methods, such as video analysis, facial expression recognition, and behavioural cues, to analyse and interpret aggressive behaviour.
Aggression Recognition
Aggression Recognition
Aggression Recognition automatically detects and identifies aggressive behaviour or signs of aggression in individuals. This technology utilises various methods, such as video analysis, facial expression recognition, and behavioural cues, to analyse and interpret aggressive behaviour.
Customer Flow Analytics
Customer Flow Analytics
Customer flow analytics analyses customer behaviour and movement within a physical space, such as a retail store, shopping mall or airport. This path could be represented in an airport from the initial touch point of parking one’s car, to boarding a flight. All analytics from each touch point have no personally identifiable information collected.
Customer Flow Analytics
Customer Flow Analytics
Customer flow analytics analyses customer behaviour and movement within a physical space, such as a retail store, shopping mall or airport. This path could be represented in an airport from the initial touch point of parking one’s car, to boarding a flight. All analytics from each touch point have no personally identifiable information collected.
Customer Flow Analytics
Customer Flow Analytics
Customer flow analytics analyses customer behaviour and movement within a physical space, such as a retail store, shopping mall or airport. This path could be represented in an airport from the initial touch point of parking one’s car, to boarding a flight. All analytics from each touch point have no personally identifiable information collected.
Customer Flow Analytics
Customer Flow Analytics
Customer flow analytics analyses customer behaviour and movement within a physical space, such as a retail store, shopping mall or airport. This path could be represented in an airport from the initial touch point of parking one’s car, to boarding a flight. All analytics from each touch point have no personally identifiable information collected.
Foreign Object Debris Recognition
Foreign Object Debris Recognition
Foreign Object Debris (FOD) Recognition automatically detects and identifies any foreign objects or debris on airport runways, taxiways, or other areas where aircraft operate. It has the potential to improve safety and operational efficiency in the aviation industry.
Foreign Object Debris Recognition
Foreign Object Debris Recognition
Foreign Object Debris (FOD) Recognition automatically detects and identifies any foreign objects or debris on airport runways, taxiways, or other areas where aircraft operate. It has the potential to improve safety and operational efficiency in the aviation industry.
Foreign Object Debris Recognition
Foreign Object Debris Recognition
Foreign Object Debris (FOD) Recognition automatically detects and identifies any foreign objects or debris on airport runways, taxiways, or other areas where aircraft operate. It has the potential to improve safety and operational efficiency in the aviation industry.
Foreign Object Debris Recognition
Foreign Object Debris Recognition
Foreign Object Debris (FOD) Recognition automatically detects and identifies any foreign objects or debris on airport runways, taxiways, or other areas where aircraft operate. It has the potential to improve safety and operational efficiency in the aviation industry.
Heat Map Recognition
Heat Map Recognition
Heat Map Recognition automatically analyses and interprets heat maps, which are visual representations of data where values are depicted using colours, gradients, or intensity variations. It can provide valuable insights for user behaviour analysis, retail optimisation, crowd management, facility planning, and infrastructure development.
Heat Map Recognition
Heat Map Recognition
Heat Map Recognition automatically analyses and interprets heat maps, which are visual representations of data where values are depicted using colours, gradients, or intensity variations. It can provide valuable insights for user behaviour analysis, retail optimisation, crowd management, facility planning, and infrastructure development.
Heat Map Recognition
Heat Map Recognition
Heat Map Recognition automatically analyses and interprets heat maps, which are visual representations of data where values are depicted using colours, gradients, or intensity variations. It can provide valuable insights for user behaviour analysis, retail optimisation, crowd management, facility planning, and infrastructure development.
Heat Map Recognition
Heat Map Recognition
Heat Map Recognition automatically analyses and interprets heat maps, which are visual representations of data where values are depicted using colours, gradients, or intensity variations. It can provide valuable insights for user behaviour analysis, retail optimisation, crowd management, facility planning, and infrastructure development.
Safety Equipment Recognition
Safety Equipment Recognition
Safety Equipment Recognition automatically detects and identifies safety equipment in a specific location. It has the potential to improve workplace safety, emergency response, regulatory compliance, and product quality control.
Safety Equipment Recognition
Safety Equipment Recognition
Safety Equipment Recognition automatically detects and identifies safety equipment in a specific location. It has the potential to improve workplace safety, emergency response, regulatory compliance, and product quality control.
Safety Equipment Recognition
Safety Equipment Recognition
Safety Equipment Recognition automatically detects and identifies safety equipment in a specific location. It has the potential to improve workplace safety, emergency response, regulatory compliance, and product quality control.
Safety Equipment Recognition
Safety Equipment Recognition
Safety Equipment Recognition automatically detects and identifies safety equipment in a specific location. It has the potential to improve workplace safety, emergency response, regulatory compliance, and product quality control.
Slip & Fall Recognition
Slip & Fall Recognition
Slip and Fall Recognition automatically detects and identifies instances where a person slips, trips, or falls. It has the potential to improve safety measures, prevent accidents, and provide timely assistance in case of a slip or fall incident.
Slip & Fall Recognition
Slip & Fall Recognition
Slip and Fall Recognition automatically detects and identifies instances where a person slips, trips, or falls. It has the potential to improve safety measures, prevent accidents, and provide timely assistance in case of a slip or fall incident.
Slip & Fall Recognition
Slip & Fall Recognition
Slip and Fall Recognition automatically detects and identifies instances where a person slips, trips, or falls. It has the potential to improve safety measures, prevent accidents, and provide timely assistance in case of a slip or fall incident.
Slip & Fall Recognition
Slip & Fall Recognition
Slip and Fall Recognition automatically detects and identifies instances where a person slips, trips, or falls. It has the potential to improve safety measures, prevent accidents, and provide timely assistance in case of a slip or fall incident.
TRU CX+
TRU CX+
TRU CX+ utilises various inputs, such as Queue Length and Dwell Time Recognition. TRU Recognition provides CX+ which can enable the experience of a customer to be measured empirically without the use of traditional surveys etc. This results in the experience of all customers being measured, with friction points being highlighted in real-time.
TRU CX+
TRU CX+
TRU CX+ utilises various inputs, such as Queue Length and Dwell Time Recognition. TRU Recognition provides CX+ which can enable the experience of a customer to be measured empirically without the use of traditional surveys etc. This results in the experience of all customers being measured, with friction points being highlighted in real-time.
TRU CX+
TRU CX+
TRU CX+ utilises various inputs, such as Queue Length and Dwell Time Recognition. TRU Recognition provides CX+ which can enable the experience of a customer to be measured empirically without the use of traditional surveys etc. This results in the experience of all customers being measured, with friction points being highlighted in real-time.
TRU CX+
TRU CX+
TRU CX+ utilises various inputs, such as Queue Length and Dwell Time Recognition. TRU Recognition provides CX+ which can enable the experience of a customer to be measured empirically without the use of traditional surveys etc. This results in the experience of all customers being measured, with friction points being highlighted in real-time.
Lost Child Recognition
Lost Child Recognition
Lost Child Recognition can assist in identifying a child who has become separated from their parents or guardians in a public setting using multiple sources of data. This may include a combination of visual data from cameras, sensor data, and contextual data such as location and time.
Lost Child Recognition
Lost Child Recognition
Lost Child Recognition can assist in identifying a child who has become separated from their parents or guardians in a public setting using multiple sources of data. This may include a combination of visual data from cameras, sensor data, and contextual data such as location and time.
Lost Child Recognition
Lost Child Recognition
Lost Child Recognition can assist in identifying a child who has become separated from their parents or guardians in a public setting using multiple sources of data. This may include a combination of visual data from cameras, sensor data, and contextual data such as location and time.
Lost Child Recognition
Lost Child Recognition
Lost Child Recognition can assist in identifying a child who has become separated from their parents or guardians in a public setting using multiple sources of data. This may include a combination of visual data from cameras, sensor data, and contextual data such as location and time.
Multi-Factor Vehicle Recognition
Multi-Factor Vehicle Recognition
Multi-factor Vehicle Recognition uses multiple sources of data to accurately identify and classify vehicles. This may include a combination of visual data from cameras, sensor data, and contextual data such as location and time. It has the potential to improve law enforcement, parking management, toll collection, and traffic management.
Multi-Factor Vehicle Recognition
Multi-Factor Vehicle Recognition
Multi-factor Vehicle Recognition uses multiple sources of data to accurately identify and classify vehicles. This may include a combination of visual data from cameras, sensor data, and contextual data such as location and time. It has the potential to improve law enforcement, parking management, toll collection, and traffic management.
Multi-Factor Vehicle Recognition
Multi-Factor Vehicle Recognition
Multi-factor Vehicle Recognition uses multiple sources of data to accurately identify and classify vehicles. This may include a combination of visual data from cameras, sensor data, and contextual data such as location and time. It has the potential to improve law enforcement, parking management, toll collection, and traffic management.
Multi-Factor Vehicle Recognition
Multi-Factor Vehicle Recognition
Multi-factor Vehicle Recognition uses multiple sources of data to accurately identify and classify vehicles. This may include a combination of visual data from cameras, sensor data, and contextual data such as location and time. It has the potential to improve law enforcement, parking management, toll collection, and traffic management.
Click on the dots to learn more about each recognition technology.

Recognition for Airports

Enhanced Security Business Value
Enhanced Insights
Enhanced Safety
Airport operations

Adding value to your sector

The following examples demonstrate how the TRU Recognition Platform can be used to generate business value in airports

Improving security

Improving security

The TRU Recognition Platform can help airports improve their security systems by providing real-time monitoring and detection of potential threats. This can increase safety for passengers and staff and reduce the risk of security breaches or incidents. By enhancing security, airports can improve their reputation and increase passenger confidence, leading to increased traffic and revenue.

Streamlining operations

Streamlining operations

The TRU Recognition Platform can help airports streamline their operations by automating certain tasks, such as baggage handling and passenger check-in. By reducing the need for human intervention, airports can save time and resources, leading to increased efficiency and lower costs. This can also improve the passenger experience by reducing wait times and speeding up the check-in process.

Optimising resource allocation

Optimising resource allocation

The TRU Recognition Platform can help airports optimise their resource allocation by tracking passenger flow and predicting demand for certain areas or services. By analysing data from cameras and other sensors, airports can make more informed decisions about resource allocation, leading to better utilisation of resources and improved efficiency. This can also lead to improved passenger experience by reducing wait times and congestion in certain areas.

Improving maintenance and operations

Improving maintenance and operations

The TRU Recognition Platform can help airports improve maintenance and operations by providing real-time monitoring and detection of potential issues. For example, cameras can detect signs of wear and tear or damage to airport facilities, enabling airport staff to respond quickly and prevent accidents or delays. This can help reduce costs associated with maintenance and repairs, while also improving safety and efficiency.

Other benefits include:

What’s a Rich Text element?

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

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Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

Choose TRU Recognition for your AI capabilities

The TRU Recognition Platform delivers strong business value to airports by improving security, streamlining operations, optimising resource allocation, enhancing the passenger experience, and improving maintenance and operations.

By leveraging the power of Recognition Technologies/Vision AI, airports can become more efficient, cost-effective, and competitive, leading to increased revenue and growth.

Customer Experience levels are measured empirically with friction points alerted in real-time.

Contact us today!

TRU Recognition can transform your operation Contact us for further information.

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