AI Video Analytics Software for Existing CamerasAI video analytics on the cameras you already have — real-time detection, alerts and dashboards for safety, quality and operations. On-premise/edge, brand-agnostic, privacy-first.
AI video analytics is software that watches your camera streams and automatically detects events, measures activity and raises alerts — so people don't have to stare at monitors.
Hype Vision adds this layer to the CCTV/IP cameras you already run. Streams are read over RTSP/ONVIF and analyzed on an on-premise edge server with the Hype-Model family, so footage never has to leave your facility.
Video analytics turns raw camera feeds into real-time events and metrics. Hype Vision runs AI video analytics on your existing RTSP/ONVIF cameras, on-premise — no rip-and-replace, no cloud dependency.
What is AI video analytics?
AI video analytics applies computer-vision models to live or recorded video to recognize objects, people and conditions, then turns them into structured events, counts and metrics. It replaces manual monitoring with continuous, consistent detection.
Unlike basic motion detection, modern video analytics understands context: it can tell a person from a forklift, a missing hard hat from a worn one, or a blocked aisle from a clear one — and only alerts when it matters.
- Real-time detection and alerts instead of after-the-fact review
- Objective, 24/7 monitoring that doesn't fatigue
- Structured data (events, counts, dwell times) for dashboards and reports
- Evidence clips attached to every event
How it works on your existing cameras
You don't need new cameras or a forklift upgrade. Hype Vision connects to your current IP/CCTV cameras over RTSP or ONVIF, decodes the stream on a local GPU/edge server, runs the detection models and pushes results to a dashboard, API or VMS.
Processing stays on-premise at the edge, which keeps latency low and video inside your network — important for privacy and for sites with limited or no internet.
- Brand-agnostic: works with Hikvision, Dahua, Axis, Bosch, Hanwha and any RTSP/ONVIF camera
- Edge / on-premise inference — footage stays in your facility
- One camera can feed several analytics at once
- Results via dashboard, webhook/REST API, PLC or messaging
What you can detect and measure
The same platform runs many analytics modules. Start with one or two and add more on the same cameras over time.
On-premise vs cloud video analytics
Hype Vision runs on-premise by default. For factories, warehouses and energy sites this means lower latency, no recurring bandwidth cost to stream video out, and footage that stays inside your network for privacy and compliance.
Cloud can still be used for dashboards or multi-site reporting; the heavy video processing stays at the edge.
- Lower latency for real-time safety triggers
- No video leaves the site unless you choose to send it
- Works on air-gapped or low-bandwidth networks
- Predictable cost — no per-stream cloud egress
Video analytics by industry
The modules combine differently per sector. Explore how teams apply AI video analytics on their existing cameras:
Deployment and pilot
Most teams start with a focused 2–4 week pilot on a handful of cameras and the one or two problems that hurt most. You see your own footage analyzed before committing to a wider rollout.
Camera angle and resolution are reviewed first; only where needed do we suggest small adjustments. There is no rip-and-replace.
- Pick the cameras and the first use case
- Edge server sized to camera count and frame rate
- Validate detections on your real footage
- Scale to more cameras and modules on the same platform
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Frequently asked questions
What is AI video analytics?
Software that applies computer-vision models to camera streams to automatically detect objects, people and conditions, then turns them into real-time alerts and structured metrics instead of manual monitoring.
Can I run video analytics on my existing CCTV cameras?
Yes. Hype Vision connects to existing IP/CCTV cameras over RTSP or ONVIF and analyzes the streams on a local edge server. In most cases no new cameras are needed; camera angle and resolution are reviewed first.
Is the video processed in the cloud?
No, by default processing is on-premise at the edge, so footage stays inside your network. Cloud can be used for dashboards or multi-site reporting if you choose, but the video itself does not have to leave the site.
What can AI video analytics detect?
Common modules include PPE/hard-hat compliance, forklift–pedestrian proximity, restricted-area entry, falls, fire and smoke, visual quality defects, production/OEE metrics and object counting. One camera can feed several at once.
How do we get started?
Usually with a short 2–4 week pilot on a few cameras and your highest-priority use case, so you can see your own footage analyzed before scaling. You can book a free pre-assessment to scope it.
What can AI detect in your factory?
Let's review together which safety, quality and production analytics your existing security cameras can deliver.
- Free 15-minute technical call
- Camera infrastructure pre-assessment
- Feasible AI scenarios