Artificial Intelligence Technology
Using AI for real-time physical intrusion and theft detection
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ilinx and SK Telecom announced that SK Telecom has adopted Xilinx Alveo Datacenter Accelerator cards
to power a real-time AI-based physical intrusion and theft detection service. SK Telecom’s AI inference accelerator (AIX) implemented on Xilinx Alveo cards provides efficient and accurate physical intrusion detection using deep neural networks. ADT CAPS CO, South Korea’s second largest physical security company, licenses and commercially deploys the physical intrusion detection service. SK Telecom’s AI-based physical intrusion detection service, T viewTM, monitors hundreds of thousands of customers’ commercial and home camera systems in real-time and dispatches security guards under physical intrusion circumstances. Processing a large volume of data from thousands of cameras using deep neural networks necessitates a powerful AI accelerator that can provide enough throughput and accuracy. T view uses SK Telecom’s AI inference accelerator (AIX), implemented on Xilinx Alveo U250 cards. Running on servers in SK Telecom’s data center, Alveo U250 cards have demonstrated high throughput and accuracy in theft detection services. The cards deliver lower detection latency and have achieved superior throughput (frames per second) compared to leading GPUs and have proven to be more cost effective.
The improved throughput and accuracy delivered by Alveo cards means more customers will have access to real-time, AI- based security services, and a more reliable protection against security threats. “In the era of Artificial Intelligence where new services are being deployed at unprecedented rates, we keep pursuing to innovate our cloud systems to deliver more value to our customers with more reliable and efficient services across diverse segments,” says Park Jin-hyo, chief technology officer and head of ICT R&D centre of SK Telecom. “AIX in collaboration with Xilinx represents one of our efforts to streamline the cloud system for AI services.” Xilinx Alveo accelerator cards are designed to meet the performance and flexibility needs of data center AI workloads, providing 10X higher performance1 for AI-based speech translation and over 3X higher throughout for video analytics pipelines compared to GPUs. Built on the Xilinx 16nm UltraScale+ architecture, Alveo accelerators are adaptable to changing algorithms and acceleration requirements, enabling domain specific architectures that optimise performance for a range of workloads without changing hardware, and while reducing overall cost of ownership. The commercial deployment of Xilinx Alveo cards in SK Telecom’s data center for AI services builds upon the announcement
and success of SK Telecom’s automated speech-recognition (ASR) application powered by Xilinx FPGAs to accelerate NUGU, a voice-activated assistant. “This represents an important win in the
commercial AI services space and builds upon our collaboration with SK Telecom to significantly improve theft detection and prevention, where our leadership in real- time compute and analysis helps to
UK businesses plan to adopt more AI in next 12 months
Organisations look at AI for efficiency gains, though some believe that implementation will be too complex, Genesys study finds
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ew research has found that 60 per cent of UK companies are already using artificial intelligence (AI), or plan to start using it in the next 12 months. Additionally, 37 per cent of those businesses are using AI to drive business objectives, provide more
efficiency and reduce cost. The findings come from research carried out by Genesys, the global leader in omnichannel customer experience and contact center solutions. The study also revealed that 42 per cent of UK companies expect that they will see a positive impact on their businesses within 12 months of deploying AI-based solutions.
AI deployments set to grow, despite perceived barriers There are, however, some barriers to applying AI according to UK. The study found that 40 per cent of employers believe implementation will be too complex, which could be seen as surprising considering the number of businesses that have already implemented an AI solution or plan to do so in the near future. Nearly a quarter (24 per cent) of companies believe there is a hesitation within their company leadership when it comes to the adoption of new technologies like AI, bots and augmented reality, citing suspicion that the value of these technologies is over-hyped. Further, 20 per cent are concerned about the cost of adopting the systems, but this much less of a concern for companies with more than 50 employees. For 16 per cent of businesses, there is hesitation that deployment and training will take too long and cause too much disruption.
www.cieonline.co.uk
A blended future for the UK workforce UK businesses considering the use of AI need to ensure that their deployments complement and assist their workforce. It is therefore not surprising that a separate survey by Genesys found 64 per cent of employees believe companies should be required to maintain a minimum percentage of workers versus AI-powered robots and machinery. Employees can take solace in the fact that 61 per cent of employers agree that a minimum percentage of employees should be maintained. “It’s not surprising that the majority of UK employers recognise the value in AI,” says Mark Armstrong, vice president for UK and Ireland at Genesys. “The most successful AI deployments will combine the best data, technologies and people. Forward thinking businesses will understand this intelligent technology will have the most impact when it is used to automate repetitive tasks and complements the skills of workers to make their jobs easier and more fulfilling.”
Components in Electronics December/January 2020 39
promote AI-based services to the South Korea market,” says Donna Yasay, vice president of marketing, Data Center Group, at Xilinx. “The adaptability, low latency and high throughput delivered by our Alveo accelerators makes them ideally suited for the visual AI inference workloads in the T view service.”
xilinx.com
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