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TRU for Shipping Ports
Streamlining shipping port operations with real-time insights.
The TRU Recognition Platform can provide significant business value to shipping ports by improving safety, enhancing security, and increasing efficiency.
Loitering Recognition
Loitering Recognition
Loitering Recognition automatically detects and identifies individuals who are lingering or are remaining in a specific location for an extended period. It has the potential to improve security and public safety and optimise business operations.
Loitering Recognition
Loitering Recognition
Loitering Recognition automatically detects and identifies individuals who are lingering or are remaining in a specific location for an extended period. It has the potential to improve security and public safety and optimise business operations.
Loitering Recognition
Loitering Recognition
Loitering Recognition automatically detects and identifies individuals who are lingering or are remaining in a specific location for an extended period. It has the potential to improve security and public safety and optimise business operations.
Loitering Recognition
Loitering Recognition
Loitering Recognition automatically detects and identifies individuals who are lingering or are remaining in a specific location for an extended period. It has the potential to improve security and public safety and optimise business operations.
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.
Person Fall Recognition
Person Fall Recognition
Person Fall Recognition automatically detects and identifies a person’s fall. It has the potential to improve healthcare and workplace safety.
Person Fall Recognition
Person Fall Recognition
Person Fall Recognition automatically detects and identifies a person’s fall. It has the potential to improve healthcare and workplace safety.
Person Fall Recognition
Person Fall Recognition
Person Fall Recognition automatically detects and identifies a person’s fall. It has the potential to improve healthcare and workplace safety.
Person Fall Recognition
Person Fall Recognition
Person Fall Recognition automatically detects and identifies a person’s fall. It has the potential to improve healthcare and workplace safety.
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.
Driver Safety Recognition
Driver Safety Recognition
Driver Safety Recognition automatically detects and identifies safe or unsafe driving behaviour. Distractions such as texting, taking calls, smoking, and not wearing a seat belt are significant safety concerns. It has the potential to improve fleet management, road safety, and personal safety.
Driver Safety Recognition
Driver Safety Recognition
Driver Safety Recognition automatically detects and identifies safe or unsafe driving behaviour. Distractions such as texting, taking calls, smoking, and not wearing a seat belt are significant safety concerns. It has the potential to improve fleet management, road safety, and personal safety.
Driver Safety Recognition
Driver Safety Recognition
Driver Safety Recognition automatically detects and identifies safe or unsafe driving behaviour. Distractions such as texting, taking calls, smoking, and not wearing a seat belt are significant safety concerns. It has the potential to improve fleet management, road safety, and personal safety.
Driver Safety Recognition
Driver Safety Recognition
Driver Safety Recognition automatically detects and identifies safe or unsafe driving behaviour. Distractions such as texting, taking calls, smoking, and not wearing a seat belt are significant safety concerns. It has the potential to improve fleet management, road safety, and personal safety.
Person Running Recognition
Person Running Recognition
Person Running Recognition automatically detects and identifies individuals who are running in areas to be deemed unsafe. It has the potential to enhance security and public safety and optimise crowd management.
Person Running Recognition
Person Running Recognition
Person Running Recognition automatically detects and identifies individuals who are running in areas to be deemed unsafe. It has the potential to enhance security and public safety and optimise crowd management.
Person Running Recognition
Person Running Recognition
Person Running Recognition automatically detects and identifies individuals who are running in areas to be deemed unsafe. It has the potential to enhance security and public safety and optimise crowd management.
Person Running Recognition
Person Running Recognition
Person Running Recognition automatically detects and identifies individuals who are running in areas to be deemed unsafe. It has the potential to enhance security and public safety and optimise crowd management.
Container Number Recognition
Container Number Recognition
Container Number Recognition automatically detects and identifies the unique identifying number assigned to a shipping container using a combination of optical character recognition (OCR) techniques and machine learning algorithms. It has the potential to improve supply chain management, customs compliance, security, and asset tracking.
Container Number Recognition
Container Number Recognition
Container Number Recognition automatically detects and identifies the unique identifying number assigned to a shipping container using a combination of optical character recognition (OCR) techniques and machine learning algorithms. It has the potential to improve supply chain management, customs compliance, security, and asset tracking.
Container Number Recognition
Container Number Recognition
Container Number Recognition automatically detects and identifies the unique identifying number assigned to a shipping container using a combination of optical character recognition (OCR) techniques and machine learning algorithms. It has the potential to improve supply chain management, customs compliance, security, and asset tracking.
Container Number Recognition
Container Number Recognition
Container Number Recognition automatically detects and identifies the unique identifying number assigned to a shipping container using a combination of optical character recognition (OCR) techniques and machine learning algorithms. It has the potential to improve supply chain management, customs compliance, security, and asset tracking.
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.
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.
Worker too close to Spreader Recognition
Worker too close to Spreader Recognition
Worker too close to Spreader Recognition automatically detects and identifies when workers are too close to a spreader, which is a piece of heavy equipment used in shipping, construction, mining, and other industries to move large quantities of materials. It has the potential to improve workplace safety, compliance monitoring, and worker training.
Worker too close to Spreader Recognition
Worker too close to Spreader Recognition
Worker too close to Spreader Recognition automatically detects and identifies when workers are too close to a spreader, which is a piece of heavy equipment used in shipping, construction, mining, and other industries to move large quantities of materials. It has the potential to improve workplace safety, compliance monitoring, and worker training.
Worker too close to Spreader Recognition
Worker too close to Spreader Recognition
Worker too close to Spreader Recognition automatically detects and identifies when workers are too close to a spreader, which is a piece of heavy equipment used in shipping, construction, mining, and other industries to move large quantities of materials. It has the potential to improve workplace safety, compliance monitoring, and worker training.
Worker too close to Spreader Recognition
Worker too close to Spreader Recognition
Worker too close to Spreader Recognition automatically detects and identifies when workers are too close to a spreader, which is a piece of heavy equipment used in shipping, construction, mining, and other industries to move large quantities of materials. It has the potential to improve workplace safety, compliance monitoring, and worker training.
Click on the dots to learn more about each recognition technology.
Enhanced Security Business Value
Enhanced Insights
Enhanced Safety
Adding value to your sector
The following examples demonstrate how the TRU Recognition Platform can be used to generate business value in shipping ports.
Safety
Safety
The TRU Recognition Platform can be used to detect potential safety hazards in shipping ports. By using computer vision technology, cameras can identify objects or people that may pose a threat to safety, such as vehicles or equipment in the wrong location, unauthorised individuals, or potential slip and fall hazards. This can alert staff to take corrective action and prevent accidents, injuries, and damage to property.
Security
Security
The TRU Recognition Platform can be used to enhance security in shipping ports by monitoring for unauthorised access, suspicious behaviour, and potential threats. By using computer vision technology, cameras can detect unusual behaviour, such as someone entering a restricted area or tampering with cargo. This can alert security personnel to investigate and prevent security breaches, theft, and other crimes.
Cargo monitoring
Cargo monitoring
The TRU Recognition Platform can be used to monitor the movement and condition of cargo in shipping ports. By using computer vision technology, cameras can track the location, quantity, and condition of cargo, enabling staff to optimise the handling and delivery of goods. This can reduce the risk of damage, loss, or theft of cargo, improving customer satisfaction and reducing costs associated with insurance claims or liability.
Traffic management
Traffic management
The TRU Recognition Platform can be used to optimise traffic flow in shipping ports, reducing congestion, and improving efficiency. By using computer vision technology, cameras can monitor vehicle and pedestrian traffic, identifying areas where congestion is likely to occur. This can enable staff to take corrective action, such as rerouting or redirecting traffic, reducing the risk of accidents, and improving the overall flow of goods.
Other benefits include:
Choose TRU Recognition for your AI capabilities
The TRU Recognition Platform provides significant business value to shipping ports by improving safety, enhancing security, increasing efficiency, and reducing costs associated with accidents, theft, and delays. By leveraging the power of Recognition Technologies/Vision AI, shipping ports can become more competitive, profitable, and successful in today's safety-conscious and efficiency-driven marketplace.
Book a demo today!
See for yourself how TRU Recognition can transform your operation or contact us for further information.
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Acknowledgment of Country
We acknowledge the traditional owners of the land we know as Australia. We recognise the long and continuing relationship that our first nations people have with the land on which we meet, work and learn. We pay our respects to elders, past, present and emerging.