Factory & Warehouse CCTV Analysis — Stock, Gates, Shifts
Powered by Krishna Intelligence — AI-powered forensic CCTV analysis for investigators
The full picture
Factories and warehouses across Gujarat's industrial belts — Metoda GIDC in Rajkot, Changodar outside Ahmedabad, the port-linked godowns around Jamnagar and Mundra — leak value at the edges. Stock tallies drift short by amounts too consistent to be accounting error; a spool of copper, a drum of chemicals, cartons from a full pallet vanish somewhere between inward gate and dispatch. Owners install thirty cameras across gates, loading bays and stores, but the footage is only consulted after a big loss, and then a supervisor faces the impossible: reviewing weeks of multi-camera recordings around shift changes and night hours to find how a pattern of small thefts actually operated. The pilferage continues precisely because everyone — including the pilferers — knows the footage is effectively unwatchable.
Krishna Intelligence makes it watchable. Batch scans process weeks of exported footage and return timelines of person and vehicle events per camera — night-shift movement near the stores between 2 and 4 AM, a person entering the raw-material area outside their duty zone, a two-wheeler at the side gate on non-working days. Vehicle detection with number-plate OCR reconstructs gate traffic into searchable records: which trucks entered, when they left, how long a dispatch vehicle actually stood at the bay versus what the register claims. Colour filters isolate uniformed versus non-uniformed persons in restricted areas, and the suspects folder flags previously terminated employees or known local offenders appearing on premises again.
The findings feed decisions bigger than one culprit. Reconstructed timelines reveal the mechanism — the register entry that never matches camera timestamps, the recurring twenty-minute gap between security patrol rounds, the vendor vehicle that loiters — letting owners fix the process, not just fire a loader. When action is taken, the SHA-256 verified report protects everyone: labour disputes over termination for theft turn on evidence quality, and tamper-evident frames with hashes preempt the claim that management fabricated footage. The report shares by WhatsApp link with the factory's HR consultant, the police for an FIR, or the insurer for a stock-loss claim. Against annual shrinkage that mid-sized units routinely estimate at ₹5-15 lakh, making thirty silent cameras finally testify is among the highest-return audits an owner can run.
What you get
Weeks of Footage, Actually Reviewed
Batch scans turn multi-camera archives into person and vehicle timelines, exposing the night-hours and shift-change patterns manual review never reaches under any realistic supervisor staffing scenario.
Gate Traffic as Searchable Records
Plate OCR reconstructs every truck entry and exit into text, so register claims can be checked against what cameras actually recorded, shift by shift, day by day.
Restricted-Area Intrusion Detection
Filters isolate persons in stores and raw-material zones outside duty hours — the events that matter, extracted from thousands of routine ones in a working week.
Terminated-Employee Flagging
A local suspects folder matches former staff and known offenders against new footage, catching the returning insider that guards no longer recognise at a busy gate.
Process Fixes, Not Just Culprits
Reconstructed timelines expose the mechanism — patrol gaps, register mismatches, loitering vendor vehicles — so the leak is closed structurally rather than merely punished one time.
Dispute-Proof Evidence
SHA-256 verified reports withstand labour-dispute scrutiny over theft terminations and support FIRs and insurance stock-loss claims cleanly, protecting the company as much as establishing the facts of the loss.
How to start
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Step 1
Export footage for the audit window — gates, stores, loading bays — from existing DVRs or NVRs.
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Step 2
Batch-scan in Krishna Intelligence and review person-vehicle timelines per camera and shift.
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Step 3
Cross-check gate registers against OCR-read vehicle records; filter restricted-area events by time and uniform.
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Step 4
Act on findings with an SHA-256 verified report — HR proceedings, FIR, insurance claim or process changes.
Common questions
Stock keeps going short but we never catch anyone. Will this help?
This is the designed use case. Consistent small shortages mean a working mechanism, and mechanisms leave repeated camera patterns — same hours, same doors, same vehicle. Scanning a few weeks of footage and reviewing only detected events near the affected stock usually surfaces the pattern within days. Owners are typically surprised less by who is involved than by how routinely the mechanism ran.
Can we verify whether the security register is honest?
Yes, mechanically. Number-plate OCR turns gate footage into a searchable record of actual vehicle movements with timestamps; comparing it against the manual register exposes unlogged entries, fudged times and vehicles that stayed far longer than recorded. The same cross-check works for the visitor register against person detections at the gate camera — a one-day audit that recalibrates gate discipline.
Is the evidence safe to use in employee termination proceedings?
Terminations for theft are where evidence quality is tested hardest, including before labour authorities. The verified report provides detection-backed frames with timestamps, each SHA-256 hashed so any post-generation alteration is detectable — directly countering fabrication claims. Pair it with your standing orders and enquiry procedure; the report supplies the factual record that domestic enquiries usually lack.
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Factory & Warehouse CCTV Analysis — Stock, Gates, Shifts — open Krishna Intelligence now, or message us and we will set it up with you on WhatsApp, in Gujarati or English.