Police CCTV Investigation Software — AI Footage Analysis
Powered by Krishna Intelligence — AI-powered forensic CCTV analysis for investigators
The full picture
When a theft or hit-and-run is reported at any Indian police station, the investigation almost always begins with CCTV — and CCTV is where investigations drown. A single case can involve footage pulled from a dozen DVRs along the suspect's route: the society gate, two shop cameras, a petrol pump, a toll approach. Reviewing 48 hours of multi-camera footage manually means a constable at a monitor for days, fast-forwarding through hours of empty street, eyes glazing exactly when the two-second glimpse of a suspect crosses the frame. High-profile cases get teams; routine theft cases — the ones that decide whether ordinary complainants see results — get whatever screen-time an overloaded station can spare, which is often not enough to find what the footage actually contains.
Krishna Intelligence puts a YOLOv8-based analysis engine on that footage. Investigators load the collected video files — any mix of DVR exports — and run a batch scan that detects every person and vehicle appearance across all of it, reducing days of viewing to a reviewable timeline of events. Filters narrow the haystack the way witnesses actually describe suspects: show only persons in a red shirt, only two-wheelers, only white cars, within this time window. Number-plate OCR reads visible plates into searchable text, so a partial plate from a witness can be matched across every camera. A local suspects folder enables face matching against known offenders — processed on the investigator's own machine, keeping sensitive galleries under the station's control.
The output is built for the casework that follows. Findings compile into an SHA-256 verified online report — every extracted frame and detection hash-fingerprinted so any later tampering is detectable — shareable up the chain or with prosecutors via a WhatsApp link, the channel Indian officialdom actually uses. A sub-inspector in Jamnagar can send the SP a link showing the suspect vehicle's appearances across five cameras with timestamps, minutes after the scan finishes. The practical effect is coverage: stations clear footage-heavy cases that would otherwise stall, and the deterrent value of CCTV — which India has installed by the crore — finally converts into detection value. AK Computer in Dwarka builds and supports the system from Gujarat, with the workflows shaped around district-police realities rather than metro command centres.
What you get
Days of Footage, Hours of Review
Batch scanning detects every person and vehicle across multi-DVR footage automatically, collapsing days of manual fast-forwarding into a reviewable event timeline ready for investigation the same day.
Witness-Style Filters
Narrow detections the way witnesses describe suspects — red shirt, white car, two-wheeler, specific time window — instead of re-watching everything yet again from the beginning.
Number-Plate OCR Search
Visible plates become searchable text, so a partial registration from a witness statement can be matched across every camera in the case collected along the route.
Local Suspects-Folder Face Match
Face recognition runs against the station's own suspects folder on local machines, keeping sensitive galleries under departmental control and away from any third-party cloud service entirely.
SHA-256 Verified Reports
Every extracted frame and finding is hash-fingerprinted in the report, making later tampering detectable and supporting evidentiary integrity when the matter eventually reaches a courtroom years later.
WhatsApp-Link Case Sharing
Compiled findings travel to superiors and prosecutors as an online report link over WhatsApp — the channel Indian case communication actually uses for daily case updates.
How to start
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Step 1
Collect DVR footage exports from cameras along the incident route as usual.
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Step 2
Load all files into Krishna Intelligence and run the batch person-vehicle scan.
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Step 3
Apply colour, vehicle-type and time filters matching witness descriptions; search plates via OCR.
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Step 4
Compile the SHA-256 verified report and share it with superiors or prosecutors by WhatsApp link.
Common questions
Can the software handle footage from different DVR brands?
Yes — investigations always produce a mixed bag of exports from Hikvision, CP Plus, Dahua and older DVRs, and the batch scan processes standard video files regardless of source. Footage that plays in a normal player can be analysed. This matters practically: the weakest camera in the chain often holds the decisive frame, and the tool treats all sources uniformly on one timeline.
How does the face recognition respect data sensitivity?
The suspects folder is local — a directory of photographs on the investigating unit's own machine, matched against footage during analysis. No suspect gallery is uploaded to third-party services, and the station controls what the folder contains and who accesses the system. This design keeps sensitive material inside departmental custody while still automating the comparison work that manual review does slowly.
Will the reports stand scrutiny in court proceedings?
The reports are engineered for integrity: each extracted frame and finding carries an SHA-256 hash, so any alteration after generation is mathematically detectable, and timestamps tie findings to source footage. Admissibility ultimately follows the procedures of evidence law — certificates under Section 63 of the BSA and proper chain of custody — and the verified report format is built to support exactly that documentation.
More ways to use Krishna Intelligence
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Police CCTV Investigation Software — AI Footage Analysis — open Krishna Intelligence now, or message us and we will set it up with you on WhatsApp, in Gujarati or English.