CCTV Camera Database

An open, structured database of 1,367 CCTV / IP camera models and their technical specifications, covering 67 brands across every market segment — from budget consumer WiFi cameras to enterprise PTZ domes and thermal imaging systems. Each camera is a validated JSON file, aggregated into a single queryable dataset (JSON + CSV).

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Why this exists

Camera spec sheets are scattered across vendor PDFs, retailer pages, and paywalled databases (IPVM, etc.) in inconsistent formats. This repo normalises them into one machine-readable structure so they can be compared, filtered, and reused.

The dataset is CC0 and always will be — free to use, copy, and redistribute with no restrictions. The website is just a convenient viewer; the data here is the source of truth.

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Browse online

Browse the database → cctv-database.com

Prefer to self-host or browse offline? A standalone demo (just demo.html + cameras.json, no build step) is included — serve the docs/ folder locally with any static server, e.g. python3 -m http.server inside docs/, then open it.

<p align="center"> <img src="docs/demo.gif" alt="CCTV Camera Database — browse, search, filter, and inspect 1,296 cameras across 64 brands" width="800" /> </p>

What you see above:

• Search — instant full-text search across brand, model, and features
• Filter — narrow by brand, camera type, night vision, resolution, or market
• Sort — click any column header to sort ascending/descending
• Detail drawer — click a row to slide open the full spec sheet (resolution, connectivity, protocols, storage, audio, pricing, source links)
• Pagination — page through all 1,367 cameras, 25 per page
• Stats bar — live counts for total cameras, brands, 4K+, WiFi, and no-subscription models

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How this was built

The database was assembled with the help of Claude Code.

Specs are sourced from manufacturer datasheets and reputable retailer listings —
each entry includes a sources array with URLs. As with any compiled dataset,
errors are possible; always verify against the official datasheet before purchasing
or deploying.

The demo video was produced with hve-spielberg,
a Claude Code skill for AI-powered video production built on Remotion.

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Repository layout

cctv-camera-database/
├── cameras/              # source of truth — one JSON file per camera, grouped by brand
│   ├── hikvision/        # 150 cameras
│   ├── reolink/          # 122 cameras
│   ├── dahua/            # 107 cameras
│   ├── hanwha/           #  71 cameras
│   ├── axis/             #  66 cameras
│   ├── tapo/             #  62 cameras
│   └── …60 more brands
├── data/                 # GENERATED — do not edit by hand
│   ├── cameras.json      # all 1,367 cameras as one array
│   └── cameras.csv       # flattened, spreadsheet-friendly
├── schema/
│   └── camera.schema.json
├── scripts/
│   └── build.js          # aggregates + validates cameras/ → data/
├── docs/
│   └── glossary.md
├── CONTRIBUTING.md
└── LICENSE

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Quick start

bashCopy
npm install   # installs Ajv for schema validation (no runtime deps)
npm run build # validates all JSON, writes data/cameras.json + data/cameras.csv

Querying the data

jsCopy
const cameras = require('./data/cameras.json');

// All 4K PoE outdoor cameras
const poe4k = cameras.filter(c =>
  c.connectivity?.includes('poe') &&
  c.resolution.megapixels >= 8
);

// All cameras with color night vision
const colorNight = cameras.filter(c =>
  c.night_vision?.type === 'color'
);

// All cameras for the UK market
const uk = cameras.filter(c =>
  c.markets?.includes('UK')
);

// All cameras with no subscription fee
const noSub = cameras.filter(c =>
  c.features?.some(f => f.toLowerCase().includes('no subscription'))
);

Or open data/cameras.csv in any spreadsheet for a quick browse.

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Coverage

By the numbers

Metric	Count
Total cameras	1,367
Brands	67
Form factors	10 (bullet, dome, turret, PTZ, dual-lens, panoramic, covert, box, fisheye, doorbell)
PoE wired	908
WiFi	428
Battery / wire-free	152
4K / 8MP+	418
4–5MP	604
1080p–2MP	334

All 67 brands

Brand	Cameras	Segment
Hikvision	150	Enterprise + consumer, global
Reolink	122	Prosumer, no-subscription, global
Dahua	107	Enterprise + consumer, global
Hanwha	71	Enterprise AI, Korea/global
Axis	66	Enterprise premium, global
Tapo (TP-Link)	62	Consumer budget, global
Eufy (Anker)	36	Consumer no-subscription, global
Arlo	29	Consumer premium wire-free, global
Ring (Amazon)	25	Consumer ecosystem, US/EU/AU
Avigilon	24	Enterprise NDAA, US/CA
Amcrest	24	Prosumer, US
Ubiquiti UniFi	26	Prosumer/SMB, US/global
Annke	23	Prosumer, global
Google Nest	19	Consumer smart home, global
Bosch	22	Enterprise, EU/global
EZVIZ (Hikvision)	21	Consumer, global
Lorex	21	Consumer NVR systems, CA/US
HiLook (Hikvision)	20	Budget installer, EU/UK/AU
Lupus Electronics	20	Privacy-first, DE/AT/CH
Tiandy	20	Enterprise + prosumer, CN/ME/Africa
Uniview	15	Enterprise NDAA, global
Blink (Amazon)	16	Budget battery, US/UK/EU
Swann	16	Consumer, AU/US/UK
ABUS	76	Consumer + professional, GDPR-first, DE/AT/CH
CP Plus	14	India #2 brand, IN
GeoVision	15	Enterprise, TW/Asia/global
IMOU (Dahua)	15	Consumer, global
Milesight	15	Prosumer/Enterprise IoT, global
Pelco	15	Enterprise legacy, NA/global
Vivotek	15	Enterprise AI, global
Wyze	15	Budget consumer, US
ACTi	14	Enterprise IP + analog, NDAA, TW/global
FLIR (Teledyne)	12	Thermal imaging, NA/EU
Kedacom	12	Enterprise, CN/global
Sunell	12	Prosumer/Enterprise, CN/global
SV3C	13	Budget consumer, CN/US
Synology	12	NAS-native cameras, global
TVT Digital	12	Prosumer budget, CN/IN/SE Asia
Hi-Focus	10	Made-in-India, BIS certified, IN
Mobotix	9	Enterprise GDPR-first, EU
Costar	8	Enterprise (Arecont successor), US
Intelbras	8	#1 Latin America, BR/AR/LATAM
Luma (Snap One)	8	Custom integrator, NA
Yale	8	Consumer smart home, UK/EU
Camius	6	Consumer direct, US
Cathexis	6	Enterprise VMS, ZA/ME
LaView	6	Consumer WiFi/solar/4G, US
March Networks	6	Enterprise retail/banking, NA
Netatmo	6	Privacy-first no-subscription, EU
Secureye	6	Budget consumer, IN
ADT	4	Monitored security, US
Hive (British Gas)	5	Consumer smart home, UK
KBvision	5	Budget installer, VN
Somfy	3	Smart home, FR/EU
Godrej	4	Consumer, IN
Honeywell	4	Enterprise, US/IN
Qubo (Hero)	4	Consumer IoT, IN
SimpliSafe	4	DIY monitored security, US
Zebronics	4	Budget consumer, IN
Aqara	3	Smart home HomeKit, EU/global
i-PRO (Panasonic)	3	Enterprise #1 Japan, JP/global
IDIS	3	Enterprise DirectIP, KR/global
Steinel	3	Outdoor smart light/cam, DE/AT/CH
Verkada	3	Cloud-managed enterprise, US/CA
Ajax	2	Professional alarm, EU/UK
Bosch Smart Home	2	Consumer smart home, DE/AT/CH
Canon	2	Enterprise optical, JP/global

Market coverage

Cameras are tagged with markets[] where relevant:

Market	Tagged cameras	Key brands
EU	88	ABUS, Netatmo, Aqara, Somfy, Axis
DE	58	ABUS, Lupus, Steinel, Bosch Smart Home
AT / CH	40 each	ABUS, Lupus, Aqara, Netatmo
UK	39	Yale, Hive, Ajax, Ring, HiLook
global	37	Hikvision, Axis, Hanwha, i-PRO
IN	32	CP Plus, Qubo, Godrej, Zebronics
US	28	Wyze, Blink, Verkada, SimpliSafe, ADT
FR	25	Somfy, Netatmo, EZVIZ
AE / SA / MENA	22 each	Hikvision, Dahua, Tapo, EZVIZ
VN	9	KBvision, Hikvision, Dahua, EZVIZ
JP	6	i-PRO, Canon, Tapo
KR	5	Hanwha, IDIS
AU	13	Swann, Reolink, Ring, Arlo, Eufy
CA	13	Lorex, Avigilon, Ring, Reolink
AR / BR / CL / LATAM	10 each	Intelbras, Hikvision, Dahua, EZVIZ

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Schema

Each camera JSON follows schema/camera.schema.json. Required fields:

jsonCopy
{
  "id": "reolink-rlc-823a",
  "brand": "Reolink",
  "model": "RLC-823A",
  "type": "bullet",
  "resolution": { "megapixels": 8, "label": "4K UHD" }
}

Common optional fields:

Field	Type	Example
connectivity	string[]	["poe", "wifi", "ethernet"]
night_vision.type	string	"color" / "ir" / "none"
night_vision.range_m	number	30
power.method	string	"PoE (802.3af) / DC 12V"
ip_rating	string	"IP67"
audio.two_way	boolean	true
protocols	string[]	["onvif", "rtsp"]
markets	string[]	["UK", "EU", "DE"]
features	string[]	["no subscription", "IP67"]
sources	string[]	datasheet / retailer URLs

See CONTRIBUTING.md for the full field reference and naming conventions.

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Contributing

Three paths — pick the one that fits you:

	Path	Best for
🌐	Open a GitHub issue	Anyone — fill a web form, no cloning needed
🧙	npm run add — interactive CLI wizard	Regular contributors — guided questions, writes JSON for you
🛠	Edit JSON directly	Developers — see CONTRIBUTING.md

The wizard flow:

bashCopy
git clone https://github.com/YOUR_USERNAME/cctv-camera-database.git
cd cctv-camera-database && npm install
npm run add      # asks questions, writes the JSON file
npm run build    # validates everything

See CONTRIBUTING.md for the full field reference, naming conventions, and what makes a good entry.

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Roadmap

• JSON Schema validation in CI (GitHub Actions)
• Static web frontend — search, filter, compare
• Side-by-side comparison view (2–4 cameras)
• Frigate-compatible config export
• Home Assistant integration template
• API endpoint (read-only, hosted)

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Community

🐛 Report a data error	Open a correction issue
➕ Add a missing camera	Open a camera submission
🔒 Report a security issue	GitHub Security Advisories
💬 Code of conduct	CODE_OF_CONDUCT.md
📋 Changelog	CHANGELOG.md

Disclaimer

Specifications are compiled from manufacturer datasheets and reputable retailers and may contain errors or become outdated. Always confirm against the official datasheet (linked in each entry's sources array) before purchasing. Not affiliated with any manufacturer.

License

Data is released under CC0 1.0 (public domain). Trademarks and model names belong to their respective owners.