Photos | Illuminating the Future: A Look at Robot Lighting Technology
This document from the Tear Sheets album showcases the latest advancements in lighting and electronics for transportation, including robots. From powerful spotlights to microphones and flames, the future of illumination is here.
BLIP-2 Description:
a page from the website of the robotMetadata
Capture date:
Original Dimensions:
585w x 801h - (download 4k)
Usage
Dominant Color:
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Detected Text
10 actually adult autonomous based carbon coachella drinks earlier females guy hotshot he here's i if kissing later life let's me nere operators photo proximity robot shot talkie there video videos voice walkie wee xeni a and appearances are around asked at away behaved below but by certain children close coming darker day demonstrated eecue explains feet few forms girl guts had hanging him his hours hydraulic in it just listened minutes most of on other out part personality pretty say singularity surprise that the to told up was well were when who with
overall
(19.09%)
curation
(25.00%)
highlight visibility
(2.44%)
behavioral
(70.27%)
failure
(-0.17%)
harmonious color
(3.52%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-50.49%)
intrusive object presence
(-5.71%)
lively color
(-8.62%)
low light
(7.98%)
noise
(-7.59%)
pleasant camera tilt
(-6.70%)
pleasant composition
(-11.33%)
pleasant lighting
(-18.09%)
pleasant pattern
(2.88%)
pleasant perspective
(27.27%)
pleasant post processing
(4.25%)
pleasant reflection
(-6.04%)
pleasant symmetry
(0.81%)
sharply focused subject
(2.47%)
tastefully blurred
(-3.25%)
well chosen subject
(2.52%)
well framed subject
(37.33%)
well timed shot
(8.49%)
all
(2.10%)
* NOTE: This image was scaled up from its original size using an AI model called GFP-GAN (Generative Facial Prior), which is a
Generative adversartial network that can be used to repair (or upscale in this case) photos, sometimes the results are a little...
weird.
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-3.5-turbo-0301
from
OpenAI)
based on a
BLIP-2 image-to-text labeling, tags,
location,
people
and album metadata from the image and are
potentially inaccurate, often hilariously so. If you'd like me to adjust anything,
just reach out.