SPECTRE: visual recognition

Spectre-Visual Recognition

Spectre’s image recognition is based on three fundamental pillars of vision

Detection

Tracking

Segmentation

Features

Facial recognition

Spectre’s facial recognition search capability allows users to identify a faces from a repository of face images. Deep learning is the state of the art in facial recognition showcasing algorithmic accuracy that easily surpasses human performance.

Object detection

Spectre can be trained to recognize specific objects or patterns, it becomes easier to automatically tag large collections of images and sort them in real time.

Facial analysis

Spectre’s facial analysis helps identify different attributes of a face and can be analyzed to recognize specific traits, such as the approximate age, ethnicity, gender and the sentiment being express by the person.

USE CASES

Manufacturing

  • Quality Inspection
  • Automated sorting
  • Quality and Standards compliance

E-Commerce

  • Catalog Categorization
  • Pattern Recognition
  • Reverse Image search

Media

  • Social Media Content Analysis
  • Inappropriate content detection
  • Gain business insights from images

Security

  • Face Recognition
  • Unwanted object/Weapon Detection
  • Safety and compliance monitoring

Agro

  • Ripeness Inspection
  • Visual Sorting
  • Crop Monitoring

Healthcare

  • Medical imaging
  • Action/emotion/behavior analysis
  • Assistive technologies

Architecture

L-LAYER DEEP NEURAL NETWORK

It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum is that it has a more-or-less normal distribution of letters, as opposed to using ‘Content here, content here’, making it look like readable English.

Figure L-layer neural network.
The model can be summarized as: ***[LINEAR -> RELU] (L-1) -> LINEAR -> SIGMOID***

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Features

Facial recognition

Spectre's facial recognition search capability allows users to identify a faces from a repository of face images. Deep learning is the state of the art in facial recognition showcasing algorithmic accuracy that easily surpasses human performance.

Object detection

Spectre can be trained to recognize specific objects or patterns, it becomes easier to automatically tag large collections of images and sort them in real time.

Facial analysis

Spectre's facial analysis helps identify different attributes of a face and can be analyzed to recognize specific traits, such as the approximate age, ethnicity, gender and the sentiment being express by the person.

USE CASES

Manufacturing

  • Quality Inspection
  • Automated sorting
  • Quality and Standards compliance

E-Commerce

  • Catalog Categorization
  • Pattern Recognition
  • Reverse Image search

Media

  • Social Media Content Analysis
  • Inappropriate content detection
  • Gain business insights from images

Security

  • Face Recognition
  • Unwanted object/Weapon Detection
  • Safety and compliance monitoring

Agro

  • Ripeness Inspection
  • Visual Sorting
  • Crop Monitoring

Healthcare

  • Medical imaging
  • Action/emotion/behavior analysis
  • Assistive technologies