See how and why Airports are increasingly using LiDAR-based software solutions to tackle their biggest challenges, leveraging the unique value of Spatial Intelligence.
The demand for both passenger and cargo air travel has risen in a much less gradual way than we anticipated. - Thomas Romig, Vice President of safety, security, and operations at Airports Council International (ACI)
For instance, traffic at Orly Airport, the second airport in Paris, was greater last month than it was before to the Covid crisis (in French):
The growing difficulties airports, airlines, and travellers are encountering are all too familiar to anyone who frequently travels.
Due to the pandemic, thousands of travellers are now flocking to the airport to make up for missed travels over the past few years.
Thus, we are experiencing a surge in airline delays and cancellations, congested TSA lines, and misplaced luggage. To make matters worse, airports continue to face staffing problems, such as a shortage of baggage handlers, which has resulted in even more lost bags.
According to the Guardian, in April 2022, almost six bags per 1,000 pieces of luggage checked in by passengers were at least temporarily lost by US airlines - 67% higher than April 2021.
Consumer complaints about airlines are up 300% as a result of all these problems.
Airports operators are responding by introducing new technologies to simplify procedures and improve the traveler experience.
This article explores how and why they are increasingly using LiDAR-based software solutions to tackle these challenges, leveraging the unique value of Spatial Intelligence.
Many people first learned about the value of LiDAR data because of the Self-Driving Car application, which will be widely deployed at scale sooner or (more likely) later.
Unlike existing 2D-based perception technologies such as cameras, the 3D data from LiDAR produces highly detailed, precise, and accurate spatial measurements. It also works in a range of environments and contexts, such as during the night and under direct sunlight.
That is what its name, Light Detection And Ranging (LiDAR), actually means. If you want to understand more the basics of 3D LiDAR, check-out our previous article:
This new kind of sensor also offers an important nontechnical advantage—no personally identifiable information is ever captured.
This technology has recently attracted a lot of attention, which is unsurprising because it can monitor moving things and measure large volumes in an effective and safe way, a capability that is required and/or useful in many applications.
There is a big market for such a useful technology—in fact, several billion dollars have been spent on the development of LiDAR hardware technology, and approximately 100 businesses manufacture different types of LiDARs.
As a direct consequence of this fierce competition and ample resources in hardware development, several consequences have emerged that make LiDAR an effective solution for airports.
In just a few years, performance has greatly improved and price has dramatically decreased, making LiDAR competitive against legacy 2D sensing solutions in most market segments.
This is especially relevant for airports when one considers the total number of units, installation, and processing costs that are required to monitor a certain area.
When it comes to selecting the most appropriate hardware, airport buildings, terminals, parking lots, and the tarmac are all very different locations: in some circumstances, such as perimeter security, you may need long-range detection, whereas in others, short-range but 360-degree coverage is much more crucial (i.e., Check-in zones and baggage claim).
LiDAR hardware only provides raw data that can’t be used “as is” without the appropriate software. You can see in the picture hereafter what a luggage claim area looks like when using LiDAR raw data that has not been processed:
As a human your brain is processing this image so you see people moving, among 95% of other LiDAR points that are just not relevant.
For airports to actually use LiDAR data, they need the equivalent of this processing brain:
Companies like Outsight have created a new category of LiDAR Software that receives a heterogeneous set of data from different manufacturers and LiDAR types as an input and processes it in real-time to deliver only relevant information, in this example, tracking people with their position, speed, etc:
Instead of the complexity of many proprietary protocols and massive amounts of raw data, Outsight's software delivers a light-weight data stream in an open format that enables many different use cases, using the right LiDAR or combination of different kinds of them depending on the situation.
We have seen that the Hardware is finally affordable, well-functioning, and well-tuned for infrastructure applications like airports.
In addition, the Software necessary to make it functional has finally been developed.
So, how is this technology being used in airports like Paris Charles-de-Gaulle?
LiDAR is actually being deployed in multiple applications to optimize operations, increase traveler satisfaction, ensure safety and compliance, and enhance business intelligence.
The figure below summarises some applications:
Only in a Luggage Claim zone you can find many concrete use cases:
In a Passport Control zone, the precise tracking of each individual allows streamlining the process and allocating the right resources at the right time:
In order to deliver this new level of Spatial Intelligence to Airports, several requirements are mandatory for such a software Solution:
Monitoring a wide area of many thousands square meters, in different levels, from Parking to Departures and Arrivals, requires much more than a sensor and object tracking software.
A comprehensive solution that enables the smooth integration of dozens to hundreds of sensors must be used, such as multi-LiDAR Fusion provided by Outsight.
It is crucial to manage the precise position, orientation, and timing of each individual LiDAR, simultaneously, to maximize performance.
The strain on the local network caused by processing millions of points per second can only be handled by the best edge processing software.
This will become increasingly important when sensor resolution grows - during the next 18 months, some manufacturers may provide sensors with a fivefold improvement in resolution.
Once that has been developed, the benefits are significant.
Thanks to the Spatial Intelligence provided by LiDAR-based software solutions like the one offered by Outsight, you are now able to ask significantly more pertinent questions:
Airport LiDAR Solutions like Outsight’s don’t stop at object tracking.
They also deliver an actionable Dashboard, where the right KPIs can be set by the users, easily accessible from any web browser.
The Dashboard gives both in-the-moment warnings and cumulative data over time, with the option to delve into historical data to better understand events and trends.
This ensures that the information is both comprehensive and valuable.
To give you an idea of scale, the Outsight solution installed in airports like Charles-de-Gaulle Airport in Paris has already accumulated 3.8 billion anonymous data points, which are easily available to authorised operators.
As we've seen, the LiDAR hardware industry is quite diverse and dynamic.
As different sensors and manufacturers have varying pros, cons, and price ranges, there is no one-size-fits-all solution.
Here are the three types of LiDARS that can be used in airports:
Short-range sensors, typically working at 905 nm wavelengths, are better for constrained spaces, as they optimize resolution.
On the other hand, long-range sensors, typically working at 1550 nm, are great for covering long distances, especially helpful in the tarmac and for perimeter security purposes.
Employing, integrating, and combining various sensors from different manufacturers is essential for both immediate and long-term success.
For example, an international airport operator, who is one of Outsight's clients, deployed a first site with a particular manufacturer. Because of the distinct physical architecture and constraints, a combination of gear from two separate manufacturers was used to deploy the second site. The first two sites consequently needed three distinct hardware sensors.
Eventually, more sites might need different ones.
Due to the complexity of integrating 3D LiDAR to obtain Spatial Intelligence, airports must rely on purpose-built comprehensive solutions that span the entire project lifecycle.
To understand the best solution for the entire project lifecycle, 3D planification and simulation are crucial. This is the role of the 3D LiDAR Simulation tool developed by Outsight with this purpose in mind:
As the project evolves and the solution becomes increasingly interconnected to other airport systems, only open API solutions with standard protocols can guarantee the required flexibility.
Airports are leading the way among all applications in Smart Infrastructure when it comes to the implementation of large-scale LiDAR-based solutions.
Because of this, we are now able to access the unique insights that can only be obtained from 3D data, both for immediate reaction (alarms) or analyzing aggregated data over long periods of time (KPI's in Dashboard).
This provides a level of Spatial Intelligence that was not previously obtainable by traditional 2D sensors such as cameras, with the additional advantage of native respect of Privacy.
Thanks to these new 3D LiDAR-based solutions, airports can reach a new level of Operational Excellence and Security, and deliver an optimized and user-friendly experience for travellers.