Jan 22, 2024
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Service categories
Service Lines
Software Development
Web Development
Domain focus
Other
Transportation & Logistics
Programming language
JavaScript
Python
Frameworks
React.js
Subcategories
Software Development
Enterprise Software
Challenge
Under the project, the team at Altoros had to address the following issues:
1. The system had to identify passengers in the security zone even if their devices were not connected to Wi-Fi.
2. The solution had to distinguish passengers from airport personnel/passersby despite the fact that Android/iOS devices use MAC address randomization to restrict tracking.
3. It was important to ensure the highest accuracy possible during real-time traffic monitoring and analysis.
Under the project, the team at Altoros had to address the following issues:
1. The system had to identify passengers in the security zone even if their devices were not connected to Wi-Fi.
2. The solution had to distinguish passengers from airport personnel/passersby despite the fact that Android/iOS devices use MAC address randomization to restrict tracking.
3. It was important to ensure the highest accuracy possible during real-time traffic monitoring and analysis.
Solution
Developers at Altoros delivered a proof of concept that monitors and analyzes passenger traffic in the security zone in real time. The system updates information every 5, 15, 30, and 60 minutes, as well as visualizes the traffic flow in a graphic. Using Aruba Networks, our engineers tracked the Wi-Fi probe requests sent by smartphones, thus identifying whether a passenger is in the security zone. By filtering out the devices that have inbuilt randomization of MAC addresses, the team at Altoros enabled the system to distinguish airport personnel/passersby from passengers. To achieve high accuracy of traffic analysis, our engineers implemented the logic written in the R programming language frequently used for statistical and data analysis purposes.
Developers at Altoros delivered a proof of concept that monitors and analyzes passenger traffic in the security zone in real time. The system updates information every 5, 15, 30, and 60 minutes, as well as visualizes the traffic flow in a graphic. Using Aruba Networks, our engineers tracked the Wi-Fi probe requests sent by smartphones, thus identifying whether a passenger is in the security zone. By filtering out the devices that have inbuilt randomization of MAC addresses, the team at Altoros enabled the system to distinguish airport personnel/passersby from passengers. To achieve high accuracy of traffic analysis, our engineers implemented the logic written in the R programming language frequently used for statistical and data analysis purposes.
Results
Cooperating with Altoros, the customer enabled real-time monitoring and analysis of passenger flow at the airport with 3.3 million traffic per year. With high accuracy of analysis, it became possible to distinguish personnel and passersby from passengers. Now, the airport is also capable of sharing the results of analytics with its security service partner to come up with informed operational and staffing plans.
Cooperating with Altoros, the customer enabled real-time monitoring and analysis of passenger flow at the airport with 3.3 million traffic per year. With high accuracy of analysis, it became possible to distinguish personnel and passersby from passengers. Now, the airport is also capable of sharing the results of analytics with its security service partner to come up with informed operational and staffing plans.