A

Surveillance Camera Privacy Auditor

3.65

Derivation Chain

Step 1 US Flock surveillance camera destruction movement
Step 2 Growing CCTV privacy concerns in Korea
Step 3 Automated personal information compliance for CCTV operators

Problem

Apartment management offices, small commercial buildings, and daycare centers operating CCTV systems struggle to self-verify compliance with Korea's Personal Information Protection Act (Article 25, video information processing devices). Manually checking 12 legal requirements — signage, recording scope, retention period, access procedures — takes 2-3 hours per facility, with fines up to ~$37,500 for violations. The 2025 amendment to the Personal Information Protection Act added new requirements for AI-based video analysis, compounding the confusion.

Solution

When CCTV installation details (number of cameras, locations, viewing angles) are entered, the system: (1) auto-generates a 12-item checklist based on the Personal Information Protection Act and standard guidelines, (2) auto-generates signage copy and design templates, (3) provides a video retention management calendar with auto-deletion alerts, (4) auto-generates the mandatory annual self-inspection Report in PDF. Provides additional requirement guidance (impact assessment) when AI video analysis is in use.

Target: Apartment management offices (300+ units), daycare/kindergarten directors, small commercial building owners/property management companies
Revenue Model: SaaS Monthly Subscription: Small tier at ~$22/mo (10 cameras or fewer, checklist + signage), Medium tier at ~$52/mo (up to 50 cameras, retention management + self-inspection Report), Property management tier at ~$112/mo (manage up to 10 facilities)
Ecosystem Role: Regulation
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
4.0/5
M Market
4.0/5
R Realizability
4.0/5
V Validation
3.0/5
NUMR-V Scoring System
N Novelty1-5How uncommon the service is in market context.
U Urgency1-5How urgently users need this problem solved now.
M Market1-5Market size and growth potential from proxy indicators.
R Realizability1-5Buildability for a small team with realistic constraints.
V Validation1-5Validation signal quality from competition and demand data.
SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (78%)

Tech Complexity
34.7/40
Data Availability
23.1/25
MVP Timeline
20.0/20
API Bonus
0.0/15
Feasibility Breakdown
Tech Complexity/ 40Difficulty of core implementation stack.
Data Availability/ 25Practical availability and cost of required data.
MVP Timeline/ 20Expected time to ship a usable MVP.
API Bonus/ 15Bonus for viable public API leverage.

Market Validation (56/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
10.5/15
Solo Buildability
7.0/10
Validation Breakdown
Competition/ 20Signal quality from competitor landscape.
Market Demand/ 20Demand proxies from search and mention patterns.
Timing/ 20Fit with current shifts in tech, behavior, and regulation.
Revenue Signals/ 15Reference evidence for monetization viability.
Pick-Axe Fit/ 15How well the concept serves participants in a trend.
Solo Buildability/ 10Practicality for lean-team implementation.

Technical Requirements

Backend [medium] Frontend [low] Data Pipeline [low]
Dashboard