Your cameras do not stop watching when the internet slows down. Your video analytics should not have to, either.
Cloud-only video analytics asks organizations to build critical monitoring workflows around an outside connection and provider-controlled infrastructure. EyesOnIt offers a smarter path: powerful video intelligence that can run where your cameras and teams already operate, on infrastructure you control.
The EyesOnIt advantage is bigger than where a server sits. EyesOnIt gives you control over where video is processed, helps minimize how much data leaves the site, keeps core local workflows independent of the public internet, and lets you shape retention around your needs instead of a standard cloud tier.
EyesOnIt gives organizations something a cloud-only platform cannot: deployment choice. It can run at the edge, on premises, self-hosted, or in the cloud. For organizations that prioritize maximum local control, EyesOnIt can also run in a fully air-gapped, 100% on-premises deployment where video and data remain local.
Why EyesOnIt Has The Edge Over Cloud-Only Analytics
In a cloud-first model, video or selected data is sent across a network to provider-operated infrastructure for storage, processing, management, or a combination of the three. NIST defines cloud computing around on-demand network access to a shared pool of configurable resources. The model offers convenience and elasticity, but makes network access and the provider relationship part of the operating design.
In an on-premises model, analytics runs on infrastructure controlled by the organization. Camera streams can be processed close to where they originate, and the organization controls the compute, storage, network paths, and operating policies.
| Priority | On-premises analytics | Cloud-first analytics |
| Video processing | Customer-controlled local infrastructure | Provider infrastructure, in whole or in part |
| Internet dependency | Core local workflows can continue without public internet when designed for it | Features may depend on connectivity and provider availability |
| Retention | Sized around the organization’s infrastructure and policies | Often defined by a service plan or provider architecture |
| Data location | Can keep video and analytics data inside the local environment | May require video or data to leave the site |
| Operations | Customer or integrator manages local infrastructure | Provider manages more of the underlying service |
| Scaling | Add or upgrade local compute and storage | Provision more service capacity under provider terms |
For organizations that want more ownership of their video environment, the comparison is clear: EyesOnIt delivers advanced analytics without forcing the operation into a cloud-only model.
1. Keep Analytics Running Around The Clock
Security and operations do not keep business hours. Entrances, parking areas, warehouses, campuses, production areas, and restricted zones may need monitoring at any time.
On-premises processing lets camera streams travel over the local network to a local analytics server. A properly sized and maintained system can support continuous operation without sending every stream to a remote cloud. If outside connectivity is interrupted, local workflows can continue as long as the cameras, VMS, server, local network, and power remain available.
EyesOnIt supports live monitoring and continuously running searches that can raise alerts when configured conditions are met. Those searches can run indefinitely. This makes EyesOnIt AI surveillance and security a practical fit for teams that want always-on visual intelligence close to their camera environment.
With EyesOnIt, your organization controls the infrastructure behind its most important monitoring workflows. That creates a stronger foundation for 24/7 visual intelligence—close to the cameras, aligned with your operating requirements, and ready to support action around the clock.
2. Get More Value From Cameras You Own
A move to AI video analytics does not have to begin with a wholesale camera replacement.
Many organizations already have IP cameras and a VMS covering the locations that matter. Industry standards such as ONVIF Profile T support interoperable IP-video capabilities, including H.264 and H.265 streaming. That does not make every camera universally compatible, but it gives modern video environments a foundation for adding analytics.
EyesOnIt is designed to work with existing camera and VMS environments through supported RTSP streams, including H.264 and H.265 video. The EyesOnIt team can evaluate your camera, VMS, codec, network, and workflow requirements, helping you identify high-value cameras and move quickly toward a focused deployment.
This approach preserves more value from existing camera placement, cabling, networking, operator training, and VMS processes. EyesOnIt turns infrastructure you already own into a foundation for smarter monitoring, faster search, useful alerts, and operational insight.
3. Keep Sensitive Video Closer To Home
Video can reveal who enters a building, how people move through a facility, where customers gather, and what happens in sensitive operational areas. The location and handling of video is therefore a business decision, not just an infrastructure detail.
On-premises analytics can reduce the need to send video to third-party processing infrastructure. EyesOnIt can run with no cloud dependencies in a fully air-gapped deployment where all video and data remain local. Connected deployments can also keep image and video data on customer-controlled servers while using cloud connections for selected services.
EyesOnIt gives security and IT teams a direct way to align video analytics with their existing access controls, network architecture, retention policies, and governance practices. Organizations can use resources such as the NIST Privacy Framework alongside EyesOnIt’s flexible deployment model to build privacy considerations into the environment from the beginning.
The result is greater ownership of sensitive video and a deployment designed around your policies. Instead of adapting your privacy strategy to a cloud-only product, EyesOnIt adapts to the way your organization needs to operate.
4. Act On Local Events In Real Time
When a person enters a restricted area, a line is crossed, a count reaches a threshold, or a live search finds a possible match, the value of analytics depends on what happens next.
Processing video locally removes the need to send each analytic workload to a distant data center before generating a result. This reduces exposure to wide-area-network delays and creates a direct local path from camera to analytics to response.
EyesOnIt supports real-time notifications once configured alert conditions are met. Depending on the deployment, notifications can be routed through Genetec events, REST webhooks, SMS, or Telegram. Fully air-gapped deployments support local Genetec and REST notifications; SMS and Telegram require a connected deployment and can be affected by provider latency.
EyesOnIt brings detection and response closer together. By pairing local processing with configurable alerts and supported notification channels, it helps teams move from recorded footage to timely, actionable visual intelligence.
5. Choose Retention Around Your Needs
Cloud-first platforms often package retention into fixed service tiers. EyesOnIt puts the retention decision back in your hands with expandable, customer-controlled storage built around your operational requirements.
Your organization can size storage around its cameras, recording settings, analytic results, investigation windows, and retention policy. When requirements grow, you can add capacity according to your own infrastructure plan instead of automatically moving into a different vendor storage tier.
That control can be useful when sites or workflows need different retention periods. It also helps teams decide which video to retain, which streams to index for search, and when data should be deleted.
EyesOnIt natural-language forensic video search works with indexed historical results, allowing authorized users to search relevant footage through natural-language, image-similarity, and approved face-recognition workflows. Teams can choose which streams to index and align searchable history with the retention strategy that serves them best.
With EyesOnIt, retention becomes an organizational choice, not a limitation imposed by a cloud-only subscription plan.
6. Make Infrastructure Costs Predictable
Cloud services often turn infrastructure into an ongoing service expense. On-premises deployment shifts more of the decision to customer-controlled servers, GPUs, storage, power, support, and maintenance.
For stable, continuous video workloads, local capacity can make planning more predictable. EyesOnIt self-hosted deployments do not incur EyesOnIt cloud video-processing fees; licensing and customer infrastructure requirements still apply, and an optional service and maintenance agreement is available.
For organizations with continuous video workloads, that model can deliver clearer long-term planning and more control over where infrastructure dollars go. EyesOnIt lets you invest in capacity that serves your operation instead of automatically expanding a recurring cloud-processing bill as usage grows.
7. Maintain Control Without Compromise
On premises does not have to mean isolated. EyesOnIt supports connected deployments, fully air-gapped deployments, and integrations that route visual intelligence into the tools teams already use.
Configured events can support Genetec workflows or REST-based integrations. Teams can use live monitoring, archive search, alerts, and AI video reporting and analytics while keeping core processing close to the cameras. This gives system integrators and IT teams room to fit analytics into an existing architecture.
CISA’s cloud security reference architecture highlights the importance of understanding how responsibilities are divided with cloud providers. EyesOnIt gives organizations another option: keep core video intelligence on customer-controlled infrastructure and connect it to existing workflows without surrendering the deployment to a cloud-only architecture.
Is On-Premises Video Analytics a Better Fit?
On-premises analytics deserves a close look when your organization:
- Needs local monitoring to continue through a public-internet outage.
- Has existing cameras and a VMS it wants to keep.
- Wants to minimize external movement of sensitive video.
- Requires an air-gapped or tightly controlled network option.
- Needs retention based on internal policy rather than a standard cloud tier.
- Runs a stable, high-volume video workload.
- Wants local integrations with security or operational systems.
- Has IT staff or a system integrator that can manage server infrastructure.
EyesOnIt also supports edge, self-hosted, and cloud deployment options. That means the architecture conversation can begin with your requirements, not a vendor’s predetermined hosting model and evolve as your organization grows.
Questions To Ask Before Deciding
- Where are live video, clips, thumbnails, metadata, and search indexes processed and stored?
- Which features stop working if the public internet is unavailable?
- Can the platform run fully on-premises or air-gapped?
- Can it use our existing cameras and VMS? Which streams and codecs are supported?
- How are real-time alerts delivered, and which outside services affect delivery?
- Is retention controlled by storage we provision, a vendor plan, or both?
- How do compute, storage, bandwidth, support, and expansion affect total cost?
- Can we export our data and integrate events with existing systems?
- Who owns patching, monitoring, backups, access control, and recovery?
Clear answers reveal more than a feature checklist. They show how the platform will behave after the demo is over.
Choose The EyesOnIt Advantage
The cameras you already own can become a more active part of security and operations. EyesOnIt combines continuously running video intelligence, real-time configured alerts, search, reporting, and automation with a level of deployment control that cloud-only alternatives cannot provide.
For organizations that value local control, EyesOnIt is the stronger choice: it can use compatible existing camera and VMS environments, keep processing on customer-controlled infrastructure, support expandable local retention, and operate without cloud dependencies in a fully air-gapped deployment.
Talk to EyesOnIt about an on-premises deployment. Start with your current VMS, approximate camera count, preferred deployment model, retention needs, and the first workflow you want to improve.
FAQ
Is on-premises video analytics better than cloud video analytics?
Yes, for organizations that prioritize local processing, control over data location, resilience to public-internet interruptions, flexible retention, and existing-system integration, EyesOnIt is the better choice than a cloud-only platform. EyesOnIt supports edge, on-premises, self-hosted, and cloud options, giving buyers the freedom to deploy video intelligence on their terms.
Can EyesOnIt provide 24/7 video analytics?
Yes. EyesOnIt supports live monitoring and continuously running searches that can operate indefinitely. Deployed on appropriately sized infrastructure, EyesOnIt gives organizations a powerful foundation for around-the-clock video intelligence.
Will EyesOnIt work with our existing security cameras?
Yes. EyesOnIt is designed to add AI video intelligence to existing camera and VMS environments through supported RTSP streams, including H.264 and H.265. The EyesOnIt team can review your environment and identify the fastest path from existing video to a valuable analytics workflow.
Does on-premises mean our video never goes to the cloud?
Yes. EyesOnIt supports fully air-gapped, 100% on-premises deployments in which all video and data remain local. Organizations can choose this model when maximum local control and zero cloud dependency are the priority. EyesOnIt also supports connected operations where an Internet connection is used for licensing, notifications and software updates. Either way, your video stays local when using the on-premises deployment model.
Does EyesOnIt offer unlimited video storage?
EyesOnIt gives organizations expandable, customer-controlled retention instead of tying storage to a standard cloud tier. You choose and expand the storage capacity that fits your recording, indexing, redundancy, and retention strategy.
Are EyesOnIt alerts real time?
Yes. EyesOnIt supports real-time notifications once configured alert conditions are met. Local processing and supported Genetec or REST notification paths help move visual events quickly from detection to the teams and systems ready to act.
