Get Alerts From the Cameras You Already Have
Our video analytics watches for the events you choose, such as a missing hard hat or a queue forming, and sends the right person an alert with a short clip.
Why camera footage goes unwatched
You have cameras on your sites, but no one can watch every screen. Footage is checked after something has gone wrong, if at all. Video analytics watches for the events you care about and tells the right person while there is still time to act.
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“We only look at the footage after an incident.”
The events you choose are reported as they happen, with the clip attached.
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“Someone counts people by hand at busy times.”
People and queues are counted from the camera, area by area, and shown on one dashboard.
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“Safety rules are checked only when a supervisor walks past.”
A missing hard hat or vest is flagged from the camera, so a supervisor can step in.
Hard hats, queues, zones and loading bays
Use it where cameras cover work that needs watching and no one is free to watch them. Each system below starts as a pilot on your own footage.
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Safety gear (PPE) on site
Flags people without a hard hat or hi-vis vest, the personal protective equipment (PPE) your site requires.
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People counting and queues
Counts people in and out of an area, and warns when a queue grows past the length you set.
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Restricted zones
Alerts when someone enters an area you mark, such as a loading bay out of hours.
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Vehicles and loading bays
Reports when a vehicle arrives at, waits in or leaves a bay, so the yard is planned from data.
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Events into your systems
Sends each event, with its clip, to your helpdesk, team chat or operations tool.
Cameras that tell you when something needs a person
You get a working system on your cameras that detects the events you chose. It comes with a written list of those events and their rules, test clips that show how it does, and a handover so your team can run it.
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Detection on your cameras
An AI model that recognises what is in each picture (a vision model) looks for your events, camera by camera.
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An event list you sign off
Each event, the areas and hours it applies to, and who is alerted.
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Privacy rules for footage
What is kept and for how long, who can view it, and blurring where you need it.
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Alerts to the right person
Each event goes to the person who can act on it, with a short clip.
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A set of test clips
Footage from your sites with the events marked, rerun after any change.
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Dashboards and handover
Counts and events over time, the code in your own code repository, the documentation and a walkthrough.
Pilot-first
A first pilot: your own footage, with the events you choose
Pilot-first: we start with a small pilot on your own data, priced up front, before any full build. It uses recorded footage from a few of your cameras and one or two events you care about, such as safety gear or a queue. Your team marks the events in the same clips. You see what the system catches and what it misses before anything goes live.
- What the pilot builds
- Detection for one or two events on recorded footage from your cameras, with the alerts and a simple dashboard.
- What you get
- The events it found, side by side with the ones your team marked, and a plan for running it on live cameras.
How video analytics works
Video analytics software reads the video from your cameras. A vision model, an AI model that recognises what is in a picture, spots the events you choose, such as a person without a hard hat or a queue forming. Your rules decide which events need an alert. The right person gets it with a short clip instead of hours of footage.
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Camera
Your existing cameras send video from the areas you choose.
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Detection
A vision model looks for the events on your list.
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Rules
Your rules decide whether an event matters at that place and time.
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Your systems
The event and its clip go to your tools and the dashboard.
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Alert
The right person sees what happened and acts on it.
- Camera The loading bay camera is watched during working hours.
- Detection A person is seen in the bay without a hard hat.
- Rules Hard hats are required in this bay during working hours, so this needs an alert.
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Your systems
Saves the event, “no hard hat”, with a short clip from this camera. -
Your systems
Sends the event to the site supervisor in your team chat. - Alert “Loading bay: a person without a hard hat. Clip attached.”
- Alert The supervisor marks it as handled, and it is counted on the dashboard.
Outside working hours, the same rule logs the event for the dashboard without sending an alert.
See what it catches on your own footage before you commit
You see what the system catches and misses on your own cameras first. We build it on the cameras and systems you already run, with alerts your team can check, and we stay after launch.
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A pilot on your footage first
You see what it catches and misses on your own cameras before you commit.
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Built around your systems
We connect video analytics to the cameras and operations tools you already run, instead of replacing them.
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Support after launch
We monitor the alerts after launch, keep the system updated and add events as you need them.
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Hours that overlap yours
We work on India Standard Time (IST): 4.5 to 5.5 hours ahead of London and 9.5 to 10.5 ahead of New York.
Events detected, people never identified
Cameras see people, so the system detects events and never who people are. We decide with you what is detected, who sees the results and what footage is kept, on every system we build.
On every video analytics system we build
- It detects events and counts people. It never identifies who they are.
- Footage is kept only as long as you set, and faces can be blurred in clips.
- An alert is for a person to check, never an automatic penalty.
- Access by role, and a log of every event and of who viewed it.
Live cameras come after it proves itself on recordings
We check one or two events on recorded footage against what your team marked, then move to live cameras once it has proved itself. Each step is priced up front.
The models and tools we build video analytics with
Standard, widely used tools, so another team could take the code over. We choose the vision model for your events and your data rules, and build on your cameras and systems, in your cloud or on your own servers.
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Vision
A vision model chosen and tested for your events on your own footage.
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Models
Where a task needs a language model, OpenAI or Anthropic Claude. When footage has to stay on your servers, open models that run there, using Ollama.
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Anthropic Claude
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OpenAI
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Ollama
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Built with
Python and FastAPI for the service, with PostgreSQL, a standard database, for events and counts.
- Python
- FastAPI
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PostgreSQL
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Hosting
Your own cloud account in your company's name, or servers on your site.
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Your systems
Your cameras and video recorder, and your helpdesk, team chat or operations tools, through connectors we build for them.
Provis Technologies AI Integration services are phenomenal. We have been witnessing growth after the AI automation they have put into our business.
Tell us what your cameras watch and what you want to know about.
We will show you which events we would detect, and who would be alerted.
Vivek SharmaCEO & Founder, Provis Technologies
Questions about video analytics software development
What is video analytics software?
Software that reads the video from your cameras and uses a vision model to spot the events you choose, such as a missing hard hat, a queue or someone in a restricted area. Your rules decide which events need an alert, and the right person gets it with a short clip, instead of watching footage.
Can it work with our existing CCTV cameras?
If your cameras or video recorder can share a video stream or export footage, yes. We check your cameras and recorder at the discovery call. The pilot starts from recorded footage, so nothing on your camera system changes until you decide to go live.
Which events can it detect?
Events you can see on camera and define clearly: a missing hard hat or vest, people entering a zone, people counts, queues, and vehicles at a gate or bay. In the pilot we test one or two of them on your own footage, so you know how each works on your sites before you add more.
How accurate is it?
It depends on the camera angle, the light and the event, so we measure it on your own footage in the pilot rather than quote a figure. Your team marks the events in the same clips, and you see what the system caught and what it missed. We tune it before it watches live cameras.
Does it recognise faces or identify people?
It does not need to. We build it to detect events and count people. It never tries to identify anyone. Faces can be blurred in the clips it keeps, footage is kept only as long as you set, and each person sees only the cameras their role allows.
Does our footage leave our site?
Only if you want it to. The system can run on a server on your site or in your own cloud account. With hosted models from OpenAI or Anthropic, data is processed by that provider. With open models we run on your own servers, it stays inside your network. We agree this with you before the pilot.
How are alerts sent?
To the person who can act, in the tool they already use, such as your helpdesk, team chat or operations system, with a short clip and the camera name. You choose which events send an alert and which are only logged for the dashboard, and at which hours each one applies.
What about false alarms?
Some will happen, which is why every alert is for a person to check. We count them in the pilot, adjust the rules, areas and hours, and add a test clip for each mistake, so the same false alarm does not come back after a change.
How do we start?
With a pilot on recorded footage from your own cameras shows what the system catches, and what it misses, before you commit to live cameras or more events. You decide after the pilot whether to go further.
How much does video analytics cost?
Three things drive the cost: how many cameras it watches, how many events it detects, and whether it runs in your cloud or on your site. Tell us about your cameras, and within two working days we come back with an approach, a rough timeline and a rough number.
How long does it take to build?
It depends on the cameras, the events and where the system runs. We start with a pilot on recorded footage, so you see the events it finds before we connect live cameras. We agree the timeline at the discovery call.
Who owns the code and the footage?
You do. The code goes into your own code repository, the cloud account and domain are in your company's name, and footage stays in your storage. Our team joins as collaborators, and you can remove our access at any time. We sign an NDA before we start, on request.
Does it work on live video or only on recordings?
Both. The pilot uses recorded footage, so we can measure the results against the events your team marked. In production the system reads live video from the cameras you choose and reports events as they happen, with recordings kept for review as long as you set.
Do you work with UK and US clients from India?
Yes. We sign an NDA before we start, on request, and work only in the accounts you invite us into. A written weekly update and a demo keep you up to date.
Work with experts
Built for teams that want events, not footage
We build video analytics that watch your existing cameras for the events you choose and alert the right person.
Prefer to talk directly?
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Emailsales@provistechnologies.com
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WhatsApp+91 88755 82124
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UK phone+44 7862 126522
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Video callBook 30 minutes with Vivek Sharma
We're on IST: 4.5 to 5.5 hours ahead of London, 9.5 to 10.5 ahead of New York.
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The cameras
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Your details
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Additional info
Tell us what your cameras should watch for
Describe your sites and cameras, the events you want detected, and who should be alerted.
Prefer to talk directly?
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Emailsales@provistechnologies.com
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WhatsApp+91 88755 82124
-
UK phone+44 7862 126522
-
Video callBook 30 minutes with Vivek Sharma
We're on IST: 4.5 to 5.5 hours ahead of London, 9.5 to 10.5 ahead of New York.


