Deep Learning platforms for Image Analysis
                     Deep Learning platforms for Image Analysis
AI & Computer Vision
Delivering  top  of  the  line  computer  vision  and  AI  image  recognition
services  that  can  be  used  to  extract  and  process  high-dimensional
data,  digital  images,  and  videos  to  produce  information  in  real-time,
enabling  companies  to  enhance  their  processes  and  effectively  meet
their goals.
Aventior offers  Image-Video_Text  Analytics  Solutions  for  Enabling
Enterprises  to  derive  actionable  insights  from Images,  Videos,  and  to
increase  business  effi ciency.  Our  experience  and  expertise  in  digital
image  processing  have  empowered  us  to  supply  optimized  solutions
and  design  superior  algorithms  for  maximum  performance  and
accuracy.  We offer  both offl ine and real-time digital  image processing
solutions; equipped with data labeling, automated testing, and analysis
features.
Aventior  data  science  team consists  of  experienced and highly-skilled
computer  vision/deep  learning/machine  learning  engineers,  domain
experts,  data scientists,  data analysts,  and business analysts,  who are
engaged  in  various  projects  belonging  to  a  wide  variety  of  domains
such  as  healthcare,  life  sciences,  energy,  automotive,  aerospace,  and
manufacturing.  Our  research  and  development  teams  thrive  to  create
the most competitive products available in the market.
Our Featured Work
 Satellite  Image  Analysis  (SIA):
An  AI-driven  computer  vision  solution  with  the  main
objective  of  detecting  and  classifying  large  vehicles,  small
vehicles,  sports  facilities,  buildings,  ships,  and  airplanes.
The solution has  use cases  in  smart  cities  applications  and
Urban or ship monitoring solutions.  Many algorithms can be
found on the UP42 marketplace,  which is  a marketplace for
Satellite and Aerial Data Solutions.
 Human  Detection  from  Drone  Imagery :
An AI-driven computer  vision solution for  detecting humans
from the drone images with the main objective of deploying
first responder and rescue services.
 Document  Processing  Platform:  
A user-friendly platform where a user can bring his own set
of  documents,  define his own rules for  data extraction,  and
have the data extracted from the bulk of fi les. The platform
helped  the  clients  in  extracting  data  from  documents  that
do  not  follow  any  rules,  or  there  are  too  many  types  of
documents to define the rules. Some of the document types
on  which  the  platform  was  tested  consisted  of  scanned
PDFs,  which contained documents like “Vehicle Registration
or  Driver’s  License”,  “Social  Security  Cards”,  “Restaurant’s
Menu  Cards”  etc. 
 Urban  Super-Resolution:
An  AI-driven  computer  vision solution  for  resolution
reconstruction  of  satellite-urban  images.  This  solution  can
be  used  to  convert  a  low-resolution  satellite  image,  with
GSD of  0.5 m to a high-resolution image with GSD of  0.125
m.  Super-Resolution  improves  the  performance  of  image
segmentation,  image  classification,  and  multi-class  object
detection solutions. 
 Power  line,  Power  Pole,  and  Abrupt  Electrical
Discharge  Detection:
AI-driven  computer  vision  application  in  detection  of  power
lines and electrical discharge aka electric-field anomalies or
sparks,  respectively.  This  set  of  algorithms  find  the
applications  in  Power  Transmission  lines  inspections  using
drones.
 Digital  Pathology  Slides  Label  Extraction:
An  AI-Life  Sciences  platform  for  extracting  the  information
from the labels on pathology slides, and convert them into a
structured format.  Then the metadata  within the labels  can
be converted into  metadata  associated  with the slides,  and
the slides  can  be easily  searched for  particular  information
based  on  the  metadata.  The  platform  can  be  used  for
effi ciently  processing  radiology  and  pathology  digital
images. 
 CPV  Auto:
A platform called “CPV Auto” was built to increase the speed
of digitization of batch-records created while manufacturing
the  drugs.  CPV  Auto  is  capable  of  extracting  the  hand-
written  and  types  of  information  present  in  scanned  PDFs.
Converting  them  into  a  standard  database.  The  system  is
based  on  the  human-in-loop  concept  and  utilizes  a
combination  of  “Optical  Character  Recognition”  (OCR)
technology  combined  with  “Speech-to-Text”  technology.  
 The  human  in  the  loop  system  ensures  100%  data
extraction  even  for  handwritten  information  present  in  the
scanned  PDFs.  CPV  Auto  can  be  extended  to  any  process
industry  which relies  on documented data that  needs to  be
digitized.