Can AI search CCTV or video footage? Yes for scenes and objects. Face recognition is a different and riskier job.
Short answer. Yes, in part. Open tools can index frames or tracked objects with image embeddings and let you search in words, such as a white van at the gate, on local hardware. Frigate, a local network video recorder with AI object detection, does this for tracked objects, and vision-language models such as Qwen2.5-VL can answer questions about video, including videos over an hour long according to the model card. The limits are real. The model card for CLIP, the kind of image-text model these search tools build on, says deployed uses are out of scope without thorough testing and that surveillance and facial recognition are always out of scope. CCTV footage of identifiable people is personal data under India’s DPDP Act, so purpose, access and retention need an owner.
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Four ways to search footage
Approach
What it finds
Worth knowing
Object detection and tracking
People, vehicles and animals, with the time they appeared.
Needs tuning per camera. Check the licence: Ultralytics YOLO is offered under AGPL-3.0 or a paid enterprise licence.
Image-text embeddings
Tracked objects matching words such as red bag or person in a helmet.
Frigate’s semantic search runs locally, needs at least 8 GB of RAM and a CPU with AVX and AVX2 according to its documentation in October 2026, and downloads its models once from Hugging Face before working offline.
Vision-language models over clips
Answers to questions about a clip, and the segment where something happened.
Qwen2.5-VL’s card says it can understand videos over an hour and pinpoint segments. It is heavier to run, and results depend on how frames are sampled.
Speech recognition on the audio track
Words spoken in the footage.
Audio of identifiable people is personal data too. Record it only where you have a reason, and tell the people recorded.
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Limits to expect
Low light, small subjects, distance and obstructions reduce what any model can see.
Frigate’s semantic search covers the objects it has tracked, not every frame, and it does not index older tracked objects automatically until you reindex.
Search by words gives ranked guesses, not proof. Always watch the original clip before acting.
Sampling frames can miss a short event between two samples.
Generic words can return false matches. Test with events you know happened.
03
Privacy and the law
The DPDP Act defines personal data as any data about an individual who is identifiable by or in relation to such data. Footage in which people can be identified falls within that definition on its face, so the office needs a clear purpose, restricted access, a retention period and a record of who searched for what. Face recognition adds identity matching on top. The CLIP card treats surveillance and facial recognition as always out of scope, because using AI for such tasks can be premature given the lack of testing norms and checks to ensure fair use. Take legal advice before using it. This is general information, not legal advice.
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How an office would set this up
Write the question first, for example who entered the store room after 8 pm, and the retention period.
Run detection near the cameras and keep tracked-object snapshots with timestamps.
Add semantic search over those snapshots, and make a person watch the original clip for every hit that matters.
Restrict search to the security manager and one deputy, and log every query.
Test with 20 events you know happened and measure how many the search finds.
Delete footage and snapshots when the retention period ends.
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What ANVE does today
ANVE’s vision models read photos, diagrams and video frames, on a device in the building. ANVE does not list CCTV search, continuous camera monitoring or face recognition as functions, and it publishes no figures for them.
The vision models run today in ANVE’s development build. No sealed unit exists yet.
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Questions people ask
Can AI recognise faces in CCTV footage?
Some tools can, but the CLIP model card places surveillance and facial recognition always out of scope, and the fairness, testing and legal issues are serious. ANVE does not list it as a function.
Can I search footage by typing what I remember?
Yes, with image-text embedding search such as Frigate’s semantic search. It returns ranked guesses from tracked objects, which a person then checks against the original clip.
Does it need a GPU?
Frigate’s documentation sets minimums of 8 GB of RAM and an AVX and AVX2 CPU for semantic search, and warns that small boards will not run it reliably. Heavier video models benefit from a GPU.
Should the footage stay on my own servers?
A local system avoids sending images of identifiable people to a third party, which simplifies questions about access and retention. Whether any rule requires it for your office is a question for your adviser.
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What is not real yet
No sealed ANVE unit exists; every image of the appliance on this site is a labelled render. The software runs today on a development machine. No customers yet, no certifications, no delivery date, and the final price is not announced.
Reservations are ₹999 in India or US$12 elsewhere, refundable in full until you confirm an order in writing (terms). Offices that cannot use cloud AI can apply to be one of ten design partners.
