Photos | Control Panel for Hyperion Machine

This control panel is the brain of the Hyperion machine, featuring numerous buttons and switches to operate the complex system.
BLIP-2 Description:
a control panel with multiple buttons and switchesMetadata
Capture date:
Original Dimensions:
3744w x 5616h - (download 4k)
Usage
Dominant Color:
architecture train fal caustic building ph lowflow power recroi mr ncstl ndnc orp switch low tower sodium system recirculating scoreboard stilling run hardware machine recrc gpm water auto off electronics press hypo screen scrubber kiosk contr chem monitor high sp seal recirc pumps cmtlrombst aux fail level punp wostl hyperion tv pump luto rca well hospital computer flow
Detected Text
00386 1 101 118 15 1501 1502 1503 1504 1505 1506 175 177 2 20 39 397 44.8 5.572 60389 8 auto aux b b1 b2 caustic chem cmtlrombst contr e fail fal flow gpm hand high hypo level low lowflow luto mr ncstl ndnc off on orp ph power press pump pumps punp rca recirc recirculating recrc recroi run scrubber seal sodium sp stilling switch system tower train up water well wostl
iso
1600
metering mode
5
aperture
f/5
focal length
24mm
shutter speed
1/50s
camera make
Canon
camera model
lens model
date
2009-07-22T11:20:08.190000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(12.94%)
curation
(50.00%)
highlight visibility
(2.44%)
behavioral
(70.22%)
failure
(-0.24%)
harmonious color
(0.35%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-73.58%)
intrusive object presence
(-6.91%)
lively color
(-7.97%)
low light
(2.64%)
noise
(-2.44%)
pleasant camera tilt
(-14.50%)
pleasant composition
(-61.28%)
pleasant lighting
(-38.65%)
pleasant pattern
(20.80%)
pleasant perspective
(0.26%)
pleasant post processing
(-6.56%)
pleasant reflection
(-7.68%)
pleasant symmetry
(0.85%)
sharply focused subject
(0.12%)
tastefully blurred
(-1.87%)
well chosen subject
(1.50%)
well framed subject
(-24.02%)
well timed shot
(1.33%)
all
(-7.09%)
* 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.