{"id":265196,"date":"2025-11-06T08:50:12","date_gmt":"2025-11-06T08:50:12","guid":{"rendered":"https:\/\/www.newsbeep.com\/ca\/265196\/"},"modified":"2025-11-06T08:50:12","modified_gmt":"2025-11-06T08:50:12","slug":"ai-powered-cameras-to-transform-operations-at-vancouver-international-airport","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/ca\/265196\/","title":{"rendered":"AI-powered cameras to transform operations at Vancouver International Airport"},"content":{"rendered":"

Vancouver International Airport (YVR) is taking a major step forward in its ongoing digital transformation with the deployment of Deep Turnaround \u2014 an artificial intelligence (AI) platform developed by Aviation Solutions, a subsidiary of Royal Schiphol Group.<\/p>\n

According to a release today, the technology is designed to optimize the aircraft turnaround process \u2014 the crucial period between an aircraft\u2019s arrival and its next departure \u2014 to make airside operations more efficient, predictable, and resilient.<\/p>\n

Integrated with YVR\u2019s pandemic-time creation of a Digital Twin<\/a>, which is a complete virtual replica of the airport on a digital platform with real-time inputs, Deep Turnaround will allow the airport to further monitor its operations in real time, providing insights to streamline decision-making and improve long-term performance.<\/p>\n

The system uses AI-powered video analysis from two cameras installed outside the aircraft gates \u2014 providing a full view of both sides of the aircraft. It detects and log key turnaround activities, such as cargo loading, baggage handling, cleaning, water resupplying, refuelling, boarding, disembarking, and stair\/jet bridge deployments.<\/p>\n

\"vancouver<\/p>\n

A screenshot of the digital twin of Vancouver International Airport. (Vancouver Airport Authority\/GeoSim Cities)<\/p>\n

In essence, this system can identify the precise causes of turnaround delays, with Deep Turnaround reducing such delays by up to 30 per cent and ultimately improving the passenger experience. The system can identify over 70 different types of turnaround events, effectively eliminating the current issue of vague and unknown details.<\/p>\n

\u201cInvesting in digital technologies is a key part of YVR\u2019s innovation strategy, enabling us to deliver reliable and resilient service to passengers and our airline customers,\u201d said Andy Margolis, vice president of operations and chief operations officer for Vancouver Airport Authority, in a statement.<\/p>\n

\u201cDeep Turnaround and digitizing our gating process data will provide invaluable insights to help minimize delays for passengers and the movement of goods and ultimately support more predictable and efficient operational service.\u201d<\/p>\n

Amsterdam Schiphol Airport\u2019s (AMS) use of Deep Turnaround has enabled its operators to identify a potential delay at a specific gate up to 15 minutes in advance, which enables them to anticipate and change their planning, such as looking for an alternative gate for the next inbound flight. This results in fewer last-minute gate changes.<\/p>\n

It has also allowed different companies of ground handling crews to optimize their schedules both before and during the day.<\/p>\n

The use of Deep Turnaround at AMS by Swissport \u2014 a major global company that provides cargo handling services to airports \u2014 eliminated the inefficient need for coordinators to make up to 500 calls per day to check in, align, and notify crews. Swissport also operates at YVR.<\/p>\n

At AMS, two cameras linked to the Deep Turnaround system are installed at every aircraft gate about 20 metres high. The cameras send photos to a computer system every five seconds, which are then analyzed by Deep Turnaround\u2019s AI models \u2014 one model that looks at every ramp and reports all current events, and the other model that also takes into account flight data and makes predictions on when a turnaround is expected to reach completion.<\/p>\n

\"amsterdam<\/p>\n

Deep Turnaround cameras installed above the gates of Amsterdam Schiphl Airport. (Royal Schiphol Group)<\/p>\n

\"amsterdam<\/p>\n

Deep Turnaround cameras installed above the gates of Amsterdam Schiphl Airport. (Royal Schiphol Group)<\/p>\n

\u201cWith Deep Turnaround, YVR joins a global community of airports transforming airside operations, collaboratively setting new standards for efficiency, reliability, and sustainability,\u201d said Caroline Massart, head of Aviation Solutions.<\/p>\n

\u201cWe\u2019re proud to work side-by-side with our partners to solve real challenges and deliver results, quickly, for the airport, the airline and ground handlers.\u201d<\/p>\n

Earlier this year, Vancouver Airport Authority and Royal Schiphol Group \u2014 the owner and operator of AMS \u2014 first announced a partnership to potentially explore the integration of their recently-created AI tools<\/a>.<\/p>\n

The now-cemented partnership places YVR among a growing network of airports worldwide using AI to transform airside operations.<\/p>\n

Air Canada, the largest airline operating at YVR, is also embracing the new technology to enhance its own operational performance for departure times.<\/p>\n

According to Aviation Solutions, Icelandair used Deep Turnaround to gain real-time visibility into aircraft ground operations, uncovering the exact causes of delays \u2014 particularly in baggage handling \u2014 and enabling swift corrective action with ground handlers. This data-driven insight led to a rapid improvement in on-time performance, reaching 100 per cent at one station, while also fostering more transparent collaboration and allowing managers to monitor operations remotely.<\/p>\n

\u201cThe Air Canada YVR Team is laser-focused on continually optimizing our ground operations to increase our process efficiencies which drives our operational performance,\u201d said Anna McMurdo, manager of global on-time performance solutions at Air Canada.<\/p>\n

\u201cWe are excited to turn on the Deep Turnaround software capabilities to give us better insights on turnaround activity. Data analytic tools such as this will enable us to better predict and calculate estimated departure times with improved precision and accuracy.\u201d<\/p>\n

\"amsterdam<\/p>\n

Deep Turnaround data at Amsterdam Schiphl Airport. (Royal Schiphol Group)<\/p>\n

\"deep<\/p>\n

Deep Turnaround on a ground crew smartphone at Eindhoven Airport. (Royal Schiphol Group)<\/p>\n

The AI platform at YVR will initially be deployed at select gates and expanded in multiple phases. The airport authority states that as passenger and cargo volumes continue to grow, YVR will aim to use data-driven innovation to enhance on-time performance, support sustainable growth, and deliver a smarter, more efficient airport operations.<\/p>\n

Based on the latest available statistics, as of the first eight months of the year through August 2025, YVR has recorded a cumulative total of 18.176 million passengers \u2014 exceeding the 17.751 million passengers recorded over the first eight months of 2024.<\/p>\n

For the month of August 2025 alone, it saw 2.648 million passengers \u2014 up from 2.611 million in August 2024. YVR is on pace for a potential record-breaking year<\/a> that not only exceeds 2024\u2019s second-best passenger total<\/a>, but also the all-time record set in 2019<\/a> of 26.4 million passengers.<\/p>\n

For air cargo volumes, YVR has recorded over 232,000 tonnes over the first eight months of the year \u2014 up by nearly six per cent compared to the same period in 2024.<\/p>\n","protected":false},"excerpt":{"rendered":"Vancouver International Airport (YVR) is taking a major step forward in its ongoing digital transformation with the deployment…\n","protected":false},"author":2,"featured_media":265197,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[62,276,277,49,48,61],"class_list":["post-265196","post","type-post","status-publish","format-standard","has-post-thumbnail","category-artificial-intelligence","tag-ai","tag-artificial-intelligence","tag-artificialintelligence","tag-ca","tag-canada","tag-technology"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/posts\/265196","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/comments?post=265196"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/posts\/265196\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/media\/265197"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/media?parent=265196"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/categories?post=265196"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/tags?post=265196"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}