One airport in Asia comes up with a solution, thanks to ADLINK’s edge computing system. There, the edge computing system constantly monitors the runways, taxiways, and terminals to detect and identify potential problems. The live video feeds from the ten cameras mounted around the top of the control tower. Each camera has a 4K resolution, and the images are stitched together in real time to provide a seamless 360-degree panoramic view. The EVA's artificial intelligence system observes the movements of taxiing planes, people, and other activities. If something is not as it should be, an alarm is signaled to an operator.
In addition, the edge computing system is connected directly to the scheduling system, so it knows which planes have been instructed to land, take off, and taxi, and where they should be at any given time. If a plane is not doing what it is supposed to, the alarm sounds. While not enabled today, it’s possible for the edge computing system to take over control of the situation and issue instructions to the humans operating the machines.
ADLINK Makes EVA a Reality
ADLINK Technology designs and manufactures a wide range of products for edge computing
. The company’s edge computing solutions include GPU-accelerated board-, system-, and server-level products, enabling system architects to construct and optimize system architecture for individual EVA applications.
As we’ve seen, edge computing systems often have to be deployed in harsh environments, and they also have to exhibit the upmost reliability. ADLINK's edge computing solutions are up to the task as their ruggedized units are fully certified for such target environments.
Most engineers are familiar with NVIDIA's off-the-shelf GPU cards with their integrated cooling fans. Unfortunately, while powerful, these cards aren’t always suitable for EVA applications, partly because the off-the-shelf cards typically have a shorter commercial lifespan (1.5 years). Then add in that that a system's cooling fans offer potential points of failure. If the fans stop working, the system stops working; and, if the system stops working, everything
For the edge computing GPU subsystems that we discussed here, and others like them, ADLINK's engineering team has taken NVIDIA's GPUs and designed them onto MXM modules, a compact form factor smaller than traditional graphics cards. But MXM GPU modules
don’t sacrifice performance. In fact, these MXM GPU modules provide equivalent processing capability while consuming less power (and producing less heat). And they have a longer commercial lifespan than conventional graphics subsystems.
Moving forward, it’s clear that systems employing edge video analytics will be deployed in various diverse locations, performing a cross-set of applications, all designed to make our lives easier and safer. And rest assured that ADLINK will remain at the forefront of this burgeoning technology.