How to use computer vision technology within the boundaries of privacy (GDPR) regulations
The General Data Protection Regulation (GDPR) is a set of rules designed to give EU citizens more control over their personal data. Under the terms of GDPR, not only do organisations have to ensure that personal data is gathered legally and under strict conditions, but those who collect and manage it are obliged to protect it from misuse and exploitation while respecting the rights of data owners.
At Assaia we are committed to ensuring the security and protection of the personal data that we process and to provide a compliant and consistent approach to data protection. We achieve this by fully adhering to the principles of the regulations and in particular, by removing personal identifiable information (PII) from the video footage we gather before it is saved.
When does an image contain personal data?
Video footage is subject to GDPR as images of individuals could enable identification of these individuals, either directly or indirectly. Whether a video image contains PII or not is determined by the quality of the image measured in pixel count horizontally across captured faces (px/face), in accordance with various industry norms (e.g., DIN EN-62676-4, BS EN 62676-4, IEC 62676-4:2014). An image with a count of 40 px/face or higher could enable identification and is therefore considered to contain PII. An image where the count is between 20 and 40 px/face could enable recognition of an individual but is not considered high enough to enable reliable identification. Below 20 px/face, no identification or recognition is possible.
Image quality to support operational requirements
Appearance under ideal conditions
Assaia Personal Data processing
The data collected by the ApronAI system are video images of aircraft turnaround activities on airport aprons, generally using CCTV cameras installed externally at the head end of each aircraft stand and sometimes also using a camera in the passenger boarding bridge. The PII collected (where camera quality is high enough) are images of people boarding/deboarding aircraft or working around aircraft within the field of view of these cameras and are entirely incidental to the operation of our system.
We do not use personal data for any purpose and our software does not require PII to function. Hence, we destroy any incidentally collected PII in our video processing pipeline before saving by means of irrevocable obfuscation or resolution reduction to below 20 px/face.
Therefore, the only processing we carry out involving personal data is (1) the collection of video that may include images of people and (2) the detection and obfuscation of any included facial images i.e, destruction of PII. No personal data is saved by the system.
Lawful basis
The lawful basis for this processing is Legitimate Interests: ensuring safety compliance and improving operational efficiency. Given this legitimate lawful basis, destroying all personal data before it is saved is not even a requirement for our system to be GDPR compliant. It is however a fail-safe way to manage risks around unauthorised disclosure.
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It is our firm belief that the future of aviation should be free of delays.
With this in mind, for the past year, Assaia has hosted a bi-monthly Roundtable for airline representatives to discuss ramp safety, including the challenges experienced post-Covid, such as staff turnover, a lack of experienced staff, and time pressures for the ramp crew. With the recent FAA mandate on Safety Management Systems (SMS), Assaia has just opened up the Roundtable to airports to facilitate increased collaboration.
Roundtable discussions have affirmed the importance of using data-driven solutions to move away from manual monitoring and toward real-time automated intervention to prevent incidents and improve behavior. At the recent American Airlines safety management system conference, Assaia discussed computer vision's potential as a tool to strengthen SMS strategies. Airline safety experts agreed that real-time automated alerts are the way forward to improve safety and facilitate safety-aware behavior. Analyzing and understanding historical data can help advance regulations and standard operating procedures
SMS strategies. Airline safety experts agreed that real-time automated alerts are the way forward to improve safety and facilitate safety-aware behavior. Analyzing and understanding historical data can help advance regulations and standard operating procedures
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Some heading goes here
It is our firm belief that the future of aviation should be free of delays.
With this in mind, for the past year, Assaia has hosted a bi-monthly Roundtable for airline representatives to discuss ramp safety, including the challenges experienced post-Covid, such as staff turnover, a lack of experienced staff, and time pressures for the ramp crew. With the recent FAA mandate on Safety Management Systems (SMS), Assaia has just opened up the Roundtable to airports to facilitate increased collaboration.
Roundtable discussions have affirmed the importance of using data-driven solutions to move away from manual monitoring and toward real-time automated intervention to prevent incidents and improve behavior. At the recent American Airlines safety management system conference, Assaia discussed computer vision's potential as a tool to strengthen SMS strategies. Airline safety experts agreed that real-time automated alerts are the way forward to improve safety and facilitate safety-aware behavior. Analyzing and understanding historical data can help advance regulations and standard operating procedures.
With this in mind, for the past year, Assaia has hosted a bi-monthly Roundtable for airline representatives to discuss ramp safety, including the challenges experienced post-Covid, such as staff turnover, a lack of experienced staff, and time pressures for the ramp crew. With the recent FAA mandate on Safety Management Systems (SMS), Assaia has just opened up the Roundtable to airports to facilitate increased collaboration.
Roundtable discussions have affirmed the importance of using data-driven solutions to move away from manual monitoring and toward real-time automated intervention to prevent incidents and improve behavior.
At the recent American Airlines safety management system conference, Assaia discussed computer vision's potential as a tool to strengthen SMS strategies.
Roundtable discussions have affirmed the importance of using data-driven solutions to move away
Roundtable discussions have affirmed the importance of using data-driven solutions to move away
At the recent American Airlines safety management system conference, Assaia discussed computer vision's potential as a tool to strengthen SMS strategies. Airline safety experts agreed that real-time automated alerts are the way forward to improve safety and facilitate safety-aware behavior. Analyzing and understanding historical data can help advance regulations and standard operating procedures.
Side image goes here
With this in mind, for the past year, Assaia has hosted a bi-monthly Roundtable for airline representatives to discuss ramp safety, including the challenges experienced post-Covid, such as staff turnover, a lack of experienced staff, and time pressures for the ramp crew. With the recent FAA mandate on Safety Management Systems (SMS), Assaia has just opened up the Roundtable to airports to facilitate increased collaboration.
Roundtable discussions have affirmed the importance of using data-driven solutions to move away from manual monitoring and toward real-time automated intervention to prevent incidents and improve behavior.
Side image goes here
At the recent American Airlines safety management system conference, Assaia discussed computer vision's potential as a tool to strengthen SMS strategies. Airline safety experts agreed that real-time automated alerts are the way forward to improve safety and facilitate safety-aware behavior. Analyzing and understanding historical data can help advance regulations and standard operating procedures.
Testimonials
The use of Assaia's TurnaroundControl has provided our Airline Partners, Ground Handlers, and Service Providers with full visibility of the aircraft turn processes. The data, predictability, and visibility enhances our collective efficiency and resilience at Toronto Pearson. Paired with our A-CDM initiative, Assaia's TurnaroundControl provides crucial data driving A-CDM processes, a reduction in turn times, and a noticeable increase in on-time performance.
Dean Wright
Associate Director, Gating & Airport Flow
The way Turnaround 2.0 uses AI and machine learning to boost our zone controllers' efficiency is remarkable. They can now manage multiple gate activities with more focus on handling exceptions, rather than multitasking.
Turnaround 2.0 is more than a tool for the present; it's a foundation for 'United Next,' growing with us and helping us surpass our operational goals efficiently.
Daniel Reed
Director of Station Operations, United Airlines
Our focus is to use innovation to make our operations smoother. We have selected Assaia because of the capabilities of the tool. But it is also really important for us that it has a good record of successful implementation, so we know it will deliver for us, for our airlines and ultimately for our passengers.
Dr Babett Stapel
Managing Director, Fraport Slovenjia
We are optimizing all our processes on the apron to shorten the time each aircraft needs to be on the ground, which benefits both our passengers and our airline partners. This is a common issue across our airports and we are talking to all of them about this technology.
Claus Grunow
VP of Corporate Strategy and Digitalization at Fraport
We are pleased to partner with Assaia to implement the ApronAI Turnaround Control solution at T4. This new solution will not only optimize operations and our work with our business partners, but will also help us to ensure a first-class customer experience at T4.
Roel Huinink
President and CEO, JFKIAT
For most airports, the apron is a a black box. Assaia finally gives our ground staff full insight into every turnaround. This allows them to focus on what really matters, while simultaneously making the work environment safer.
Jason Aspelund
Former Manager Strategic Performance, Alaska Airlines
The real-time and historical insights that can inform both airport and airline operations make this solution a clear winner for everyone.
Craig Paul
Director of Technology & Innovation , Halifax Stanfield International
Assaia's product allows airports and airlines to collect, track, and analyze data in real time; this innovation removes inefficiencies and optimizes performance.
Jim Lockheed
JetBlue Ventures
We’re creating the airport of the future, and innovation in apron operations will directly improve the passenger experience. We are laser focused on innovations that will make Pearson and its whole apron ecosystem more efficient while reducing our carbon footprint.
Deborah Flint
President and CEO GTAA
SEA needed an innovative solution to our capacity problem and have worked with Assaia to optimize the turnaround process resulting in reduced taxi times and increased passenger satisfaction. Assaia has exceeded our expectations, consistently delivering on-time & on-budget.
Samer Tirhi
Airline Scheduling Coordinator, Seattle-Tacoma International Airport
With the help of Predicted Off Block Time from Assaia. JFKIAT Operations can be proactive to reduce or eliminate any delays and gate holds
Stephen Tukavkin
VP IT & Digital, JFKIAT
I had mentioned before, great innovation on your part. With these types of improvements, T4 is always leading at JFK. Thank you
COPA Station Manager
JFKIAT
We are proud to be partnering with the Assaia team in our mission to use technology to improve the efficiency and safety of the airport environment.
Raghbir S. Pattar
Director of Airports Transformation, IAG
We’re working hard on becoming an airport of the future, and this involves rethinking every part of our ground operations. Assaia’s ApronAI is an integral component of our vision for the ramp of the future.
Abhi Chacko
Head of Innovation & Commercial IT Services, Gatwick Airport
Assaia’s technology adds critical data points to CVG’s early-stage neural network for operational advancements. Structured data generated by artificial intelligence will provide information to make decisions, optimize airside processes, and improve efficiency and safety.
Brian Cobb
CIO, CVG Airport
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