This shift is increasingly described as the Internet of Video Things (IoVT), reflecting the growing integration of visual data into connected systems and applications.
Organisations across sectors are using connected video sensors to support:
This page covers the broader Internet of Video Things: video as a real-time source of IoT data across fleets, worksites, retail and infrastructure. For fixed CCTV and surveillance deployments specifically, see our CCTV page.
Get the full picture on the technology shifts driving IoVT, real-world use cases (telematics, retail, body cameras, smart motorways) and the connectivity strategy behind them.
Organisations deploying connected cameras must balance:
High-bandwidth, continuous data volumes
Real-time transmission requirements
Coverage across distributed, remote or moving camera estates
Rising data costs at scale
Security of sensitive footage.
Our connectivity runs on Conexa, our mobile core network, spanning 4G, 5G and LEO satellite across 750 network partners in 165 countries, with more than 20 million devices already under management and over 2 million eSIM profiles deployed over the air. For video sensors, this sits alongside Kheiron Data Hub, which ingests and contextualises data from cameras and other connected devices, and an AI/ML Runtime that applies analytics and machine-learning models to identify patterns, anomalies and events in visual data alongside other sensor inputs.
We pair this connectivity and data intelligence layer with managed security, including private APN, VPN and anomaly and threat detection. Video sensor deployments extend easily into new sites, vehicles and countries through eSIM and remote SIM provisioning, without adding operational complexity.
Many organisations run cameras and video systems separately from the rest of their IoT estate. A single data intelligence layer brings video and IoT data together, providing one view of assets, environments and events instead of treating footage in isolation.
Footage is often reviewed after an incident rather than acted on as it happens. Edge compute and video analytics detect what matters as it is captured, so alerts reach the right team while there is still time to act.
Continuous video streaming across large camera estates drives up data costs quickly. Processing footage closer to the point of capture cuts how much data crosses the network, so organisations pay for what matters rather than every frame.
Cameras on vehicles, remote sites or wide geographic areas cannot always rely on one network. Multi-network and satellite connectivity extends coverage to distributed and moving estates, closing gaps in visibility.
Video sensors capture and transmit sensitive footage, creating data protection and compliance obligations. Private APN, VPN, private IP addressing and anomaly and threat detection protect footage in transit as well as at the device.
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eSIM for video sensors
eSIM and remote SIM provisioning allow video sensor manufacturers and operators to deploy a single hardware design globally, provisioning and managing connectivity over the air rather than swapping physical SIMs across a distributed estate.
Private APN, VPN, private IP addressing and anomaly and threat detection help ensure footage is only accessible to the systems and people who need it, while alerts, throttling, blocking or quarantining protect the network when device behaviour falls outside defined parameters.
Connected cameras and video sensors continue to evolve after deployment. Reliable connectivity enables organisations to deliver:
Over-the-air firmware updates
Security updates
Feature enhancements
Device diagnostics
Performance monitoring.
