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TRU for Quick Service Restaurants

Enhancing customer experience and streamlining operations even in the quick service industry

The TRU Recognition Platform provides strong business value to Quick Service Restaurants (QSRs) by improving the speed and accuracy of service, reducing wait times, and enhancing the overall customer experience. Safety and Security risks are also recognised.

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.
Path Map Recognition
Path Map Recognition
Path Map Recognition automatically detects and recognises paths or routes taken. It has the potential to improve marketing strategies and campaign effectiveness measurement in store.
Path Map Recognition
Path Map Recognition
Path Map Recognition automatically detects and recognises paths or routes taken. It has the potential to improve marketing strategies and campaign effectiveness measurement in store.
Path Map Recognition
Path Map Recognition
Path Map Recognition automatically detects and recognises paths or routes taken. It has the potential to improve marketing strategies and campaign effectiveness measurement in store.
Path Map Recognition
Path Map Recognition
Path Map Recognition automatically detects and recognises paths or routes taken. It has the potential to improve marketing strategies and campaign effectiveness measurement in store.
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.
Dwell Time Recognition
Dwell Time Recognition
Dwell Time Recognition automatically measures and analyses the length of time individuals spend in a particular location or area. This technology is often used in retail, hospitality, and public spaces to understand customer behaviour, optimise space utilisation, and improve operational efficiency.
Dwell Time Recognition
Dwell Time Recognition
Dwell Time Recognition automatically measures and analyses the length of time individuals spend in a particular location or area. This technology is often used in retail, hospitality, and public spaces to understand customer behaviour, optimise space utilisation, and improve operational efficiency.
Dwell Time Recognition
Dwell Time Recognition
Dwell Time Recognition automatically measures and analyses the length of time individuals spend in a particular location or area. This technology is often used in retail, hospitality, and public spaces to understand customer behaviour, optimise space utilisation, and improve operational efficiency.
Dwell Time Recognition
Dwell Time Recognition
Dwell Time Recognition automatically measures and analyses the length of time individuals spend in a particular location or area. This technology is often used in retail, hospitality, and public spaces to understand customer behaviour, optimise space utilisation, and improve operational efficiency.
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.
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.
Safety Process Recognition
Safety Process Recognition
Safety Process Recognition automatically detects and identifies safety processes in various industries, such as manufacturing, construction, and healthcare. It has the potential to improve workplace safety, compliance monitoring, process improvement, and worker training.
Safety Process Recognition
Safety Process Recognition
Safety Process Recognition automatically detects and identifies safety processes in various industries, such as manufacturing, construction, and healthcare. It has the potential to improve workplace safety, compliance monitoring, process improvement, and worker training.
Safety Process Recognition
Safety Process Recognition
Safety Process Recognition automatically detects and identifies safety processes in various industries, such as manufacturing, construction, and healthcare. It has the potential to improve workplace safety, compliance monitoring, process improvement, and worker training.
Safety Process Recognition
Safety Process Recognition
Safety Process Recognition automatically detects and identifies safety processes in various industries, such as manufacturing, construction, and healthcare. It has the potential to improve workplace safety, compliance monitoring, process improvement, and worker training.
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.
Table Cleanliness Recognition
Table Cleanliness Recognition
Table Cleanliness Recognition automatically detects and identifies the level of cleanliness of tables and the length of time it takes for a table to be cleaned. It has the potential to improve quality control, customer satisfaction and experience, compliance monitoring, and process improvement in the food service industry.
Table Cleanliness Recognition
Table Cleanliness Recognition
Table Cleanliness Recognition automatically detects and identifies the level of cleanliness of tables and the length of time it takes for a table to be cleaned. It has the potential to improve quality control, customer satisfaction and experience, compliance monitoring, and process improvement in the food service industry.
Table Cleanliness Recognition
Table Cleanliness Recognition
Table Cleanliness Recognition automatically detects and identifies the level of cleanliness of tables and the length of time it takes for a table to be cleaned. It has the potential to improve quality control, customer satisfaction and experience, compliance monitoring, and process improvement in the food service industry.
Table Cleanliness Recognition
Table Cleanliness Recognition
Table Cleanliness Recognition automatically detects and identifies the level of cleanliness of tables and the length of time it takes for a table to be cleaned. It has the potential to improve quality control, customer satisfaction and experience, compliance monitoring, and process improvement in the food service industry.
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.
Drive-Through Duration Recognition
Drive-Through Duration Recognition
Drive-through Duration Recognition automatically detects and measures the time it takes for vehicles to move through a drive-through lane, such as at a fast-food restaurant. This technology can be used to improve customer service and operational efficiency by identifying bottlenecks and reducing wait times.
Drive-Through Duration Recognition
Drive-Through Duration Recognition
Drive-through Duration Recognition automatically detects and measures the time it takes for vehicles to move through a drive-through lane, such as at a fast-food restaurant. This technology can be used to improve customer service and operational efficiency by identifying bottlenecks and reducing wait times.
Drive-Through Duration Recognition
Drive-Through Duration Recognition
Drive-through Duration Recognition automatically detects and measures the time it takes for vehicles to move through a drive-through lane, such as at a fast-food restaurant. This technology can be used to improve customer service and operational efficiency by identifying bottlenecks and reducing wait times.
Drive-Through Duration Recognition
Drive-Through Duration Recognition
Drive-through Duration Recognition automatically detects and measures the time it takes for vehicles to move through a drive-through lane, such as at a fast-food restaurant. This technology can be used to improve customer service and operational efficiency by identifying bottlenecks and reducing wait times.
Click on the dots to learn more about each recognition technology.

Recognition for Quick Service Restaurants

Enhanced Security Business Value
Enhanced Insights
Enhanced Safety

Adding value to your sector

The following examples demonstrate how the TRU Recognition Platform can be utilised to generate business value and deliver benefits to customers in convenience stores. 

Slip and fall prevention

Slip and fall prevention

The TRU Recognition Platform can be used to detect slip and fall hazards in the restaurant, such as spills or debris on the floor. By using computer vision technology, cameras can identify potential hazards and alert staff to take corrective action before an accident occurs. This can help reduce the risk of slip and fall accidents, which can result in costly liability claims and damage to the restaurant's reputation.

Quality control

Quality control

The TRU Recognition Platform can be used to monitor the quality of food as it is being prepared and served. Cameras can detect issues such as overcooked or undercooked food, incorrect toppings, and other quality control issues, enabling QSRs to take corrective action quickly and prevent waste. This can improve the overall customer experience by ensuring that customers receive high-quality food every time they visit.

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.

  • sdwedqwdq
  • sdwdwqdw

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 provides significant business value to Quick Service Restaurants (QSRs) by improving the speed and accuracy of service, reducing wait times, and enhancing the overall customer experience. Security and safety issues are recognised in real-time to mitigate risks and protect employees and customers.  Customer experience levels are measured empirically thereby eliminating traditional surveys and enabling customers to respond in real-time to any friction points.

Contact us today!

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

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Tap into TRU Value, accurately, efficiently and responsibly.

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Use existing Infrastructure to boost customer engagement and sales.

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