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The Security Event

30 April - 2 May 2024
NEC, Birmingham


Security Cameras

10 Feb 2020

SkyHawk and SkyHawk AI Surveillance Products

Seagate Stand: 5/K110

Three things customers should know about the impact of Surveillance AI 

1) Top markets primed for Surveillance AI adoption: Safe and Smart Cities
Two verticals within the security sector where sensors, AI and data will have a profound impact are safe and smart cities. The global city surveillance market surpassed $3 billion in 2017 and is expected to grow 14.6 percent annually from 2016 to 2021. Shanghai, London and Atlanta are at the forefront of adopting citywide monitoring to enhance public safety. The reality is, the more cameras or sensors a city deploys, the more storage the system will need. The safe city market has evolved into the smart city market, fuelled by the advent of 5G, IoT sensors, smart cameras with AI, and edge computing. IHS Markit predicts the number of smart cities will quadruple, from 21 in 2013 to 88 in 2025. At the heart of the smart city initiative is data—the capture, analysis, storage and distribution of data to improve livelihoods. 

2) Long-Term impact of AI is enhanced healthy living, mobility and economic growth
Within smart cities, healthcare, transportation and local economies all stand to benefit from using new sensors and data to improve efficiency and quality of services. Here’s a snapshot of some of the applications. 

Healthy Living: Doctors are starting to equip patients with lifestyle wearables. These devices act as IoT sensors that send notifications for specific health indicators, such as high blood pressure. By receiving real-time data on patient health, doctors can proactively prescribe treatment before a condition worsens or becomes a chronic illness. 

Mobility: Research from INRIX reports that Americans lose up to 97 hours per year because of traffic congestion. According to the McKinsey Global Institute, metropolises using traffic sensors to improve traffic flow have the potential to reduce commutes by 15-20 percent and emergency response times by 20-35 percent. Autonomous vehicles enabled with vehicle-to-vehicle and vehicle-to-infrastructure communication enhance pedestrian detection. All these scenarios rely on data to improve overall mobility and road safety.

Economic Development: By using smart cameras, sensors and online apps, cities improve energy conservation, customer engagement and community activism. Smart meters provide consumers with more frequent readings, empowering residents to make lifestyle changes to improve energy usage. Water consumption tracking systems can reduce residential water usage by as much as 15 percent. 

3) Data influx from AI inspires new storage architecture and solutions 
As data continues to play a critical role in informing everyday life decisions, business operations and smart city initiatives, the strategies used to preserve and protect this data must evolve. This starts with system integrators following two best practices: implementing the right storage architecture and hard drives. Because of the sheer volume of sensors and surveillance cameras being deployed in today’s data hungry applications, cloud storage alone is not enough. Storage experts are recommending ‘IT 4.0’, a new storage architecture that relies on both edge and cloud computing for data analysis. By deploying AIenabled servers and appliances on the edge, which are located closer to the endpoints – cameras and sensors – that aggregate the data, data processing can occur on-site. 

Powering AI-enabled NVRs with Seagate SkyHawk and SkyHawk AI drives, which are optimised for mixed read/write workloads, allows insights to be delivered faster to customers so they can take action. Once data is transferred to the cloud, servers equipped with Seagate Exos enterprise-class drives perform more efficiently, aggregating and archiving petabytes of data for deep learning and trend analysis. For users running applications that utilize hot data like facial recognition systems, blade servers with Seagate Nytro solid-state drives enable instantaneous data availability for automatic detection and reporting. For more details on how to improve data flow and management from the endpoints, edge and cloud, refer to our IT 4.0 Storage Framework infographic.

Advanced storage technologies ensure that mission-critical data is readily available for analysis for smart, quick decision-making to enhance convenience, business processes and the urban experience. By using proven storage technologies from edge to cloud, as well as hard drives optimized for 24x7 workloads, integrators improve data management for their customer’s AI, surveillance and smart city solutions. The result is a high-performing system that can deliver valuable information for years to come. To learn more, read our white paper on “How to Overcome the Storage Challenges of Adopting Surveillance AI.” You can download it at: https://

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