Knowledge
Field & platform basics, explained clearly
Short guides for camera-trap monitoring: protocols, weatherproof ratings, wildlife AI, and how upload into the Untamed Data Platform works. Written for field teams and program managers, in plain language.
Topics
What you can learn here
Open a guide. Each topic has its own page.
FTP vs FTPS
Why encrypted upload matters, when plain FTP is only a fallback, and how the Untamed Data Platform uses per-camera logins.
Read guide → SetupSetting up FTP on your camera
Where the settings come from, what to enter, and why it's usually done from the camera's app.
Read guide → HardwareIP66 vs IP67 vs IP68
What weatherproof ratings mean for wildlife cameras left outdoors for months.
Read guide → HardwareProtecting your trail camera
Security boxes, cable locks, and placement against theft, vandalism, and animal damage — plus the trade-offs.
Read guide → PlatformWhat is wildlife AI?
Detection, species labels, confidence scores, and the human review queue — without black-box cloud APIs.
Read guide → UploadHow camera upload works
One login per camera, brand-agnostic folders, then AI and the dashboard.
Read guide → SetupWhat your camera needs
FTPS, internet, file types, and passive mode — the checklist before you buy or deploy.
Read guide → QualityReview queue & confidence
Why some detections wait for a person, and how corrections stay in your data.
Read guide → ReportingNatura 2000 monitoring
How camera-trap evidence — presence, relative abundance, and survey effort — feeds Habitats Directive reporting, and where the line is.
Read guide → Field setupPlacing a wildlife camera
Height, direction, distance, mounting, and the mistakes that ruin a season of captures.
Read guide → Field setupKeeping a camera from sagging
Straps stretch and the camera tips down over weeks. Why it happens, how to mount so it holds, and when to use a firmer mount.
Read guide → Wildlife AIPhotos, video & how the AI reads them
How long analysis takes, and when photos or video give cleaner IDs, counts, and behavior data.
Read guide → Field setupBattery & power in the field
Battery types, solar, cold-weather drain, and powering off-grid sites.
Read guide → Field setupPreventing false triggers
Stop wind, sun, and vegetation from filling the card before the AI ever sees it.
Read guide → UploadManual vs automatic upload
When to let cameras upload on their own, and when to still walk the SD cards.
Read guide → HardwareNight captures & IR: low-glow vs no-glow
White flash, low-glow, and no-glow IR — image quality vs staying invisible.
Read guide → SetupGPS & camera location
Why location matters, and keeping camera coordinates consistent across seasons.
Read guide → Field knowledgeMoon phase & animal activity
How moonlight shifts nocturnal activity — and what that means for your data.
Read guide → PlatformData ownership & export
You own the footage and the detections — and you can take them with you.
Read guide → PlatformMultiple cameras in one project
Structure a grid: projects, per-camera logins, shared maps and dashboards.
Read guide → ConnectivityStarlink & remote connectivity
Get footage out of no-signal sites — over any connection you can bring.
Read guide → PlatformCamera health & monitoring
Spot the camera that went quiet before you lose weeks of data.
Read guide → HardwareLens quality and the AI
Cheap cameras cut costs on the optics — and soft, low-detail images give the AI less to work with.
Read guide → Camera basicsHow cameras trigger: PIR vs image
Passive-infrared heat versus pixel-based motion — the power trade-off, and what each one captures.
Read guide → AI & processingAI on the camera vs the cloud
Why on-camera AI drains battery and data, and why we run the AI in the European cloud.
Read guide → ReportingRelative abundance (RAI) & trap-nights
How the index is built from events and effort, the assumptions behind it, and where it's valid — same species over time, not a ranking across species.
Read guide → PrivacyBlurring people & vehicles
Wildlife cameras also catch people and vehicles. How the platform blurs them automatically and irreversibly — and where it can miss.
Read guide → OwnershipAvoiding camera lock-in
Many cameras tie your footage to one maker's app and cloud. How we stay open: camera-agnostic, your data, open standards, self-hostable.
Read guide → StandardsCamtrap DP
The open camera-trap data standard — deployments, media, and observations in one package that maps to Darwin Core and GBIF.
Read guide → Trust & provenanceChain of custody & data provenance
What's tracked behind every detection — model, version, human review, survey gaps — and why it matters for audits and claims.
Read guide →Go further
Related pages
Product detail, hardware, and program design live next door.
Product
Full platform capabilities: dashboard, analytics, maps, teams, export.
Open →Wildlife AI
Pipeline, review, and European infrastructure in more depth.
Open →Supported cameras
Tested FTPS models and how to connect hardware.
Open →FAQ
Short answers on accounts, storage, review, and privacy.
Open →Next step
Ready to try the platform?
Test the platform, or contact us if you need help choosing cameras or protocols.