
About
Bolted fingerprint reader pedestal with recessed sensing plate, status strips and protected electronics enclosure. Original unbranded passenger border equipment. Metres, Y up, Z forward, ground-contact origin. Static model; no biometric processing, electrical operation or certified barrier performance.
Use with an AI agent
Copy this prompt into your AI chat, then describe what you want to build with the asset.
Use the “Fingerprint Pad Pedestal (Mountain Border Checkpoint)” asset in my project. Model: https://cdn.3dassets.dev/assets/30306/v1/model.glb Asset page: https://3dassets.dev/assets/mountain-border-checkpoint-mountain-border-checkpoint--3c903dc8 Description: Bolted fingerprint reader pedestal with recessed sensing plate, status strips and protected electronics enclosure. - Dimensions (X × Y × Z): 0.48 × 1 × 0.42 metres - Triangles: 3.0k - Animations: none - Licence: CC0 1.0 Universal (https://creativecommons.org/publicdomain/zero/1.0/) - Loading: Three.js GLTFLoader; no additional decoders required.
Also available as JSON, Markdown, or via the MCP server.
Import manually
Choose your framework, then copy the code into your project to load the asset.
import { GLTFLoader } from 'three/addons/loaders/GLTFLoader.js'
const loader = new GLTFLoader()
loader.load('https://cdn.3dassets.dev/assets/30306/v1/model.glb', (gltf) => {
scene.add(gltf.scene)
})Common questions
How do I use this model with my AI development tools?
How do I get started?
Which game engines and tools can I use this model with?
How do I import this model into Unity, Godot, Unreal or Blender?
Can I use this model in a commercial game, and do I need to credit anyone?
Can I load it from the CDN instead of downloading it?
Do I need Draco, Meshopt or KTX2 to load it?
Fingerprint Pad Pedestal (Mountain Border Checkpoint)
Bolted fingerprint reader pedestal with recessed sensing plate, status strips and protected electronics enclosure.