NYC Police Street Facial Recognition Cameras on Post
NYC Police Street Facial Recognition Cameras on Post belongs to our Architecture & Landmarks range and is offered at $69 through the TurboSquid marketplace. Poly count sits at 63,205; vertex count at 67,161. That figure reads differently on desktop, on mobile and in WebXR, so weigh it against the target platform and the number of instances in the scene.
It ships with 13 textures, authored at 4096 x 4096. The StemCell build means you are not re-authoring shaders after import - the PBR setup is designed to read the same across engines. Naming and hierarchy are consistent, so the model behaves predictably when it is merged into a larger scene alongside other assets.
The listing flags architectural visualization, film & TV VFX and product rendering as the intended applications. The model joined the catalog in 2020 and is still part of what we sell today. It is aimed at architectural visualization, city scenes, advertising renders and VR walkthroughs.
Questions About This Model
What should I search for to find models like the NYC Police Street Facial Recognition Cameras on Post?
Useful search terms are nypd, street and cctv. Browsing the Architecture & Landmarks category shows the closest alternatives at a range of prices.
Which industries use the NYC Police Street Facial Recognition Cameras on Post model?
This listing is cataloged for Architecture, Film & Video Production and Advertising. Those are the sectors the model was tagged for on TurboSquid, based on how comparable assets in the Architecture & Landmarks range are bought.
How heavy is the NYC Police Street Facial Recognition Cameras on Post mesh?
63,205 polygons and 67,161 vertices, built as polygonal quads/tris. That figure reads differently on desktop, on mobile and in WebXR, so weigh it against the target platform and the number of instances in the scene.
What does StemCell mean for the NYC Police Street Facial Recognition Cameras on Post model?
StemCell covers both geometry and shading: the model is delivered across formats with materials that stay equivalent instead of needing per-engine conversion.
