With the move away from combustion engines towards electric vehicles (EVs), sales of EVs across the world have increased and with that so has the expansion of its corresponding infrastructure.
As charging stations become more widespread, new challenges arise, especially when it comes to protecting them and their customers. This is where smart video and video analytics come into play. To store, analyse and enable real-time alerts, these systems must come with an appropriate data storage infrastructure providing capacity, performance, security and resilience for current and future EV stations.
Primed for success: smart video and EV charging stations
When it comes to the successful expansion of charging station infrastructure, an important component that may not always be considered is a reliable monitoring system to protect the facilities. With the increasing number of charging points in both urban and remote areas, operators need to have an overview of activity at the sites at all times.
To pave the way for safety and success, EV station owners are turning to AI-enabled security cameras that offer innovative features that help revolutionise the way operators protect their property. These smart video devices can help distinguish between natural elements, vehicles, animals as well as people and can send alerts in the case of an unforeseen event or unusual behaviour. With the ever-increasing resolution quality from 4K to 8K and beyond, as well as new technology advancements like motion sensors, new cameras enable object tracking, which can also significantly reduce false alarms.
Over recent years, EV stations have become an increasingly attractive target for cable and battery theft, EV destruction and other forms of vandalism. This not only leads to financial losses but can also affect the reliability and availability of the stations. Video analysis can help protect and prevent vandalism before it occurs or catch the perpetrators in the act. This is because AI-enabled cameras will be able to optically zoom in, analyse the target automatically, and take a picture or record a video of the conspicuous event.
In addition, intelligent video can use algorithms to detect other threats such as fire or animals. For example, a situation can be assessed if a house or wildfire has broken out near the charging station and fire detection can be useful to take effective measures against the spread of potentially dangerous events and minimise the damage to the station and surrounding areas. It also allows EV owners to detect approaching animals such as wild boars that could potentially cause damage to the installation.
These AI-enabled smart video systems do not only place new demands on the equipment, but also on the data storage infrastructure that is powering video analytics. Capacity, latency and bandwidth become crucially important when recording, streaming and analysing high-resolution footage to take quick action.
Data storage is fuelling EV charging station security
Storage is a critical component to unlocking the full potential of smart video data. When designing infrastructure, EV station owners need high-capacity storage at the edge in the camera, in the server or recorder, as well as on the cloud or the data centre that offers low latency, high performance, and quick scalability. Another important consideration in smart video is video and data retention time. This could vary according to regulatory compliance, redundancy and backup practices, or longevity or reliability of the storage solution. This means that any storage solution for smart video features should enable long-term storage without compromising performance while complying with data protection regulations. Translating these requirements into reality, a 360° smart video camera recording in full HD at 25 frames per second (fps) for 24 hours generates approximately 2.5TB[1] of data over a specified retention period that is usually around 90 days[2]. In order to have sufficient storage capacity for these daily streams of an EV charging station, the backend must have at least 225TB. The maximum possible storage requirement just for monitoring these specific locations could be up to 21 exabytes (EB).


To meet these demands, EV station operators need a customised storage solution that supports these new AI workloads and associated storage requirements. As video analytics and deep learning for today’s intelligent video solutions are performed both on-premise and in the cloud, it is important to provide a scalable, cost-effective and durable, yet high-performance storage infrastructure. EV station operators can obtain highly resilient, durable on-camera storage of up to 256 gigabytes (GB) in the form of microSD cards at the edge of the network, supporting card health monitoring capabilities, pre-emptive storage management and reliability for continuous 24/7 high-definition video recording. Specially designed microSD™ cards, such as those from WD Purple™, can continue recording even if the connection to the network video recorder (NVR) is interrupted.
For reliable storage at the core, decision makers should look to purpose-built hard disk drives (HDDs) that offer up to 22TB of storage and are equipped with advanced features. These enable up to 32 AI streams for deep learning analysis within the system while reducing image failures. In addition, these HDDs, designed for intelligent video environments, are also optimised to handle up to 64 additional single-stream HD cameras, allowing for easy scalability as requirements change.
An important part of this will be the right smart video infrastructure that allows operators to monitor and improve the security and functionality of their stations, as well as detect and respond to events in real time. As part of this, video data and data storage will continue to fuel the potential in this industry to ensure safety, security and incident prevention.
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