Development of a Multi-Vendor DVR/NVR Forensic Analysis Tool for Standardized Acquisition, Recovery, and Analysis of Surveillance Evidence.
National Technical Research Organisation (NTRO) · Blockchain & Cybersecurity · Software
The spec is precise but the work is per-vendor reverse-engineering requiring physical access to each recorder — a team can realistically support one brand deeply, so only take this if you have a DVR to work from and frame it as a proof-of-concept abstraction, not eight-vendor coverage.
What it actually is
Surveillance recorders from different manufacturers each use their own proprietary storage formats, file systems and timestamps, so investigators need a different tool for every brand and struggle to recover deleted footage or maintain a clean chain of custody. The ask is one vendor-agnostic tool that acquires, recovers and analyses footage across the major DVR and NVR brands with standardised, forensically sound workflows.
What to build
A vendor-agnostic forensic tool that automatically identifies the DVR or NVR model, parses the proprietary file system, creates a forensic disk image, extracts video and metadata, decodes the proprietary video formats, recovers deleted footage, normalises timestamps across cameras, and maintains chain of custody with hashing and audit logging across the major OEMs named — Dahua, CP Plus, Hikvision, Honeywell, TP-Link, Godrej, Uniview and Matrix — with standardised reporting and optional intelligent video analytics on the recovered footage.
Smallest thing that wins the room
Point the tool at a disk image from one supported DVR, have it auto-identify the model, parse the proprietary file system, extract and play recovered footage including a deleted segment, and show the normalised timeline with the chain-of-custody hash log.
How crowded this one gets
A guess, projected from the 2025 statements — the last year where both the submission counts and the winners were published.
Quieter than 83% of the 226 · #40 of 226 by expected field
Few teams are likely to go here. The best odds on the board come from statements like this.
Why: defence, intelligence and space bodies drew small fields.
This is a guess, not a fact
Nobody has published 2026’s numbers yet. This is an analysed estimate from last year’s pattern, so please do not take it as the truth — check the live counter on the SIH portal before you decide anything. The range covers the middle half of likely outcomes, so one statement in two lands outside it. Entry closes at 500 ideas per statement, so no range goes past that — a statement that reaches the cap fills and shuts rather than drawing an unlimited crowd. The model reads only three things a team can see before choosing — software or hardware, the theme, and what kind of body posted it — and those explain about a quarter of the variation in last year’s field sizes (R² 0.25 on held-out statements). Trust the band more than the number, and the ordering more than either. It cannot see how good your idea is, which is the part that actually decides it.
The scores
The number is the shorthand. The line under it is the reason.
Acceptance potential
2/5The specification is excellent but the core is per-vendor reverse-engineering that is slow and requires physical access to each recorder, so a team realistically supports one or two brands while the description names eight, and an NTRO judge will see that partial coverage against a problem defined by breadth.
Feasibility
2/5Each vendor's proprietary file system and video format must be reverse-engineered without documentation, and supporting even three of the eight named OEMs means three separate reverse-engineering efforts on formats that are undocumented and vary by firmware — this is exactly the kind of painstaking work that makes commercial DVR forensic tools expensive.
Innovation scope
3/5The task is defined by the vendors' formats, so the work is reverse-engineering rather than open design, though the unifying abstraction layer and the deleted-footage recovery leave some room.
Clarity
5/5The description names the exact OEMs to support and enumerates every required capability from model identification through proprietary parsing, deleted recovery, timestamp normalisation and chain of custody, so the requirement is fully specified.
Effort
MassiveReverse-engineering multiple proprietary file systems and video formats, plus a forensic imaging and recovery layer with chain of custody, is a large effort where each supported vendor multiplies the work.
Demo-ability
MediumRecovering and playing deleted footage from a proprietary recorder is a strong result, but it requires you to have physical access to that specific DVR model and its disk to work from, which is a real prerequisite.
In its favour
- Green flag: The requirement is fully specified with the exact OEMs named, so there is no ambiguity about scope
- Green flag: A vendor-agnostic abstraction over even two brands is a genuinely useful contribution investigators lack
- Green flag: Chain-of-custody hashing and standardised reporting are concrete forensic artifacts that demonstrate rigour
- Green flag: The reverse-engineering barrier guarantees an extremely thin field
Against it
- Red flag: Each vendor's file system and codec is proprietary and undocumented, so supporting them means reverse-engineering formats one by one with no reference
- Red flag: You need physical access to each DVR model and its disk to reverse-engineer and to demo, which is a hard logistical prerequisite most teams cannot meet
- Red flag: The description names eight OEMs, and a tool covering one or two has visibly under-answered a problem whose whole point is breadth
- Red flag: Deleted-footage recovery from a proprietary file system you have only partially reverse-engineered is unreliable, and forensic evidence demands reliability
What you will be writing
- Proprietary file system reverse-engineering
- DVR disk image parsing
- Proprietary codec decoding (H.264/H.265 container extraction)
- Deleted footage carving
- Timestamp normalisation across cameras
- Hashing + chain-of-custody audit logging
- Video forensics
- Surveillance evidence
- Reverse engineering
Prior art to read before you start
multi-vendor DVR forensic acquisition · proprietary format reverse-engineering · deleted surveillance footage recovery
Analysed by Claude Opus. Every score above is a judgment call with its reasoning attached — kindly cross-check this against the official statement on the SIH portal before your team commits to it.