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Computer Vision

case studies
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Enablement

Pre Processing

Auto cropping, Noise reduction etc.

Data Capturing

Computer vision, OCR etc.

Data Classification

Text mining, Machine Learning Structure etc.

Enrichment

Data Normalization

Extracting relevant data, Deep Machine Learning & AI

Data Validation

Predefined values, Confirm business validation rules etc.
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Cv-tab

Images collection

  •  In-car Human Pose
  •  Driver Monitoring  (NIR)
  •  Traffic patterns
  •  Handwritten Text collection
  •  Image Augmentation
  •  Image Normalization
  • Traffic Videos

Bounding box Annotation

  • Image Annotation – 2D & 3D

Video Annotation

  • 2D & 3D Bounding Box and Object Tracking

Keypoints /Landmark Annotation

  • Facial annotation
  • Human Pose annotation

Polyline / Spline Annotation

  • Realtime identity validation
  • OCR Validation
  • Image Augmentation
  • Realtime Model
  • Exception handling
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The cost of flawed data is often approximated with the ”rule of ten”, which states that if any part of a dataset is flawed, it requires at least 10 times the typical amount of investment for the same unit of work.

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Data Enablement Services

Collect ,Cleanse and prep the data to meeting the data objectives fo the customer.

Process And Domain Knowledge

Intellekt and its partner solution ecosystem bring in over 12 years of muscle strength around data pain points.

Ability And Scale

Transaction based models with the ability to scale up and down with weeks.

Socially Viable

Intellekt and its partners execute out of tier 2 and 3 cities in India. Over 65% of our workforce are women.
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COLLECT

MOVE / STORE

EXPLORE/ TRANSFORM

AGGREGATE/ LABEL

LEARN / OPTIMIZE

AI / DEEP LEARNING

Would your business rather spend 1x now (data preparation) or 10x (data enriching) or, 100x on (flawed data) in the future?

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  DEFECT DETECTION USING COMPUTER VISION
THREAT DETECTION & SECURITY SCREENING SOLUTION
    REALTIME DIGITAL IDENTITY VERIFICATION
                      IMAGE ANNOTATION
IMAGE ANNOTATION & ALGORITHM   TRAINING
MACHINE LEARINING FOR A CV DATA         LABELLING PLATFORM
ANNOTATION OF FACIAL FEATURES USING  OBJECT DETECTION AND CLASSIFICATION