Об оригинале
AI-powered security helps reduce EV charging crime
Издатель: Издатель материала
Дата сохранения: .
AI-powered security helps reduce EV charging crime
Chertsey, Surrey (UK)
According to Hanwha Vision's findings, across the UK, more than 200 incidents of theft and vandalism against EV chargers were reported between 2022 and mid-2025. Image courtesy of Shutterstock via Hanwha Vision
The increased adoption of electric vehicles (EVs) is transforming our roads, but as with any innovation, it is also creating new opportunities for criminals. This new and growing infrastructure is increasingly targeted for its valuable equipment and components, notably copper within the charging cables. Combined with vandalism driven by anti-EV sentiment, this can cost thousands per unit for a charging operator to replace
The impact can extend far beyond the immediate cost of replacing broken equipment. A single incident can disrupt an entire charging site, leaving multiple bays unavailable and creating frustration for drivers who rely on accessible and reliable charging.
According to Hanwha Vision, the scale of the challenge is growing. German operator ENBW alone recorded more than 900 cases of cable theft at over 130 locations in 2025, resulting in damages amounting to several million euros. Danish energy company OK reported a three-fold rise in charging cable theft in the first half of 2025. And across the UK, more than 200 incidents of theft and vandalism against EV chargers were reported between 2022 and mid-2025.
Security - from reactive to proactive
Investing in a comprehensive video security solution, suggests Hanwha Vision, can make a significant difference, supporting operators in a proactive approach that prevents damage from occurring in the first place. Video surveillance in car park environments can reduce crime by up to 37% and by up to 52% if the system is actively monitored.
Modern cameras are equipped with advanced video analytics and AI that help operators identify unusual activity, spot repeat offenders, and provide real-time alerts to aid faster intervention from ground teams. Positioning such cameras to provide complete coverage of charging bays, entrances and exits ensures that operators can maintain visibility across the entire charging environment. AI-powered analytics can identify unusual behaviour, such as a person entering a charging bay when no vehicle is present or a vehicle remaining in a charging area for an extended period without actively using the charger.
Real-time alerts can help security teams respond quickly, while integrated deterrence measures, such as triggered lighting or audible warnings, can help prevent incidents before significant damage is caused.
This type of intelligent monitoring enables security teams to focus on genuine exceptions rather than constantly reviewing hours of footage. For example, virtual alarm zones can automatically adjust based on expected activity. When a vehicle is charging normally, the system recognises the activity as expected. Once the vehicle leaves, the area can automatically return to an active monitoring state, triggering an alert if someone enters the space without a legitimate reason.
Jack Turnell, Commercial Product Manager agrees, stating that “The real value comes from turning intelligent detection into a coordinated response. By connecting camera analytics with cloud-based monitoring, alarm management and remote incident tools, operators can protect distributed charging sites from anywhere while also improving uptime and operational efficiency.”
Value-added benefits
Taking a more proactive approach to EV charging station security offers benefits beyond theft prevention.
When incidents do occur, cloud-based recording and remote incident management provide operators with critical evidence to support investigations and insurance claims. Evidence can also be shared with law enforcement to prevent repeat offences and wider gang-related targeting.
Security systems can also support wider operational efficiency by monitoring charging infrastructure health. Through integration with charging units, operators can receive proactive notifications when equipment requires attention, helping reduce unexpected outages and maintain availability.
As John Lutz Boorman, Head of Product and Marketing at Hanwha Vision Europe, explains, “Video has evolved beyond being merely a cost centre. When intelligently deployed, it can deliver a measurable return by helping operators prevent costly incidents, reduce downtime and maintain the availability of their charging network. By combining high-quality video with intelligent analytics and integration with charging infrastructure, operators gain greater visibility of their assets and can act earlier when something is wrong. The result is a security investment that can help reduce operational costs while protecting revenue, customer experience and the long-term value of the charging network.”
video analytics
video surveillance
EV charging infrastructure
John Lutz Boorman
AI-powered security
Honeywell modernises US marines barracks access worldwide
G&D and Vuwall unite to become Panoptec
Siemens partners NVIDIA on AI-driven autonomous factories
CSL Group acquires Simpl Wireless in the US
Hikvision and Aramco sign MoU to explore AI-driven solutions
DI Awards 2026 - The winners revealed!
Police submit Grenfell files to UK Crime Prosecution Services
Global drone detection market set to almost triple by 2031
Image courtesy of Assa Abloy
Assa Abloy sells HID's PKI business unit to Vista Equity
Digicert recognised by F&S as top tier digital trust leader
Image courtesy of I-Pro
I-Pro introduces modular camera for discreet applications
Siemens invests in Skeleton Technologies
Image courtesy of Acoem
Acoem brings enhanced analytics to ATD gunshot detection
New coalition urges secure use of biometrics in travel
Image courtesy of Delta Scientific
Delta Scientific launches new portable barrier
Intersec prepares to launch in Europe
Image courtesy of Hanwha Vision
A single integrated system across 200 residential sites
Image courtesy of Teledyne Flir
Flir cameras meet new UL classification standard for early fire detection
HID joins FIDO Alliance Board
adds intelligence to surveillance with Cysecurity
Первоисточник
Адрес оригинала указан на изображении. Перейти к нему можно после входа.
Войдите или зарегистрируйтесь, чтобы открыть оригинал.