Changi Airport uses Computer Vision and AI to improve Security

In November 2018, Singapore’s Changi Airport was said to have handled a total of 5.41 million passenger movements. This is a significant 4.5% increase in the number of passengers from the same period last year. Passengers coming into Changi Airport is expected to increase as the time goes by, leading up to the opening of Changi Airport’s Terminal 5, which will begin construction in 2020. With such a high volume of passenger movements, the safety of the passengers will be a huge concern. To ensure that proper security is in place, the scale and quality of security operations cannot be undermined. The Changi Airport Group has got an excellent solution to this problem – make use of Computer Vision and Artificial Intelligence (AI). Changi Airport Group has invested in local company Xjera Labs to aid the company in the design of airport-specific security solutions. Xjera Labs focuses on the use of AI and deep neural networks technologies to gain insights from live video footages. Specifically, for Changi Airport, the company has developed a Multi-Signal Surveillance Platform (MSS), which uses AI enabled video analytics that combines with audio intelligence to detect security incidences. The system has been trained to recognize various human gestures and actions. Moreover, it is also able to recognize spoken languages and semantics as well. By scaling such a solution with the implementation of multiple CCTV cameras, the system will be able to accurately detect security anomalies and alert security personnel instantly. The solution can also recognize faces, identify persons of interest, detect crowds and analyse vehicle flows when needed. With such a solution, the Changi Airport Group has effectively increased the security of their airport terminals. Such a smart surveillance technology can also help to reduce the reliance on manpower.

Xjera Labs is one of the best AI Start-Up in Singapore

Founded in December 2013, Xjera Labs Pte Ltd has been focusing on developing AI based Image and Video Analytics solutions. They were in the right place at the right time where AI technologies are starting to gain popularity and traction in the industry and market. With the onset of accelerated training of Deep Learning models using GPUs, Xjera Labs has gained a competitive edge. That is why, they have been collaborating with NVIDIA and IMDA Singapore to use GPU for the deployment of Deep Learning for their solutions.

GPUs make Today’s AI Applications Possible

In the past, training deep learning models with the CPU will take up a lot of time. The CPU is simply not created for such computational types. Today, with NVIDIA’s method of using the GPU for accelerated AI computations, it is now finally practical to develop new and innovative AI based solutions. Such new solutions are going to open up a whole new world of intelligent applications and change how the world is today. Furthermore, with the recent launch of the new NVIDIA Tesla T4 graphics card and Turing GPU Architecture, deep learning performance can be accelerated by a considerable magnitude over previous generation architectures. The dedicated Tensor cores bring multi-precision inference performance capable for today’s AI solutions. Of course, Xjera Labs was able to easily use these GPUs to integrate scalable deep learning into video for their solutions. Together with the new NVIDIA GeForce RTX series of graphics card, even consumers have got access to the latest AI accelerators for AI applications. Users are empowered to run and create AI applications of the future.

AI is here to stay

Like it or not, the advancement of technology has finally made AI possible and AI will be here to stay. Many organizations in various industries are starting to adopt AI technologies as part of their business process transformations. Governments are also using AI for the management of their cities. For having the first mover advantage and the technical expertise in AI, Xjera Labs has certainly set the stage for AI in Singapore and our future. We look forward to even more AI based solutions in the market that improves the society that we know of today.