Computer Vision

Security Reinforcement Using Video Images

The Future of Remote Security Monitoring: Deep Reinforcement Learning (DRL)

Business Challenges

Real-Time Security Framework 

Solve issues like:

  • Scaling
  • Rotation
  • Cluttered backgrounds
  • Variations in light intensity

Deep Reinforcement Learning is an effective remedy for image classification, facial detection and captioning.

Furthermore, it is an important piece of:

  • interactive perception and tasks like
  • Object segmentation
  • Articulation model estimation
  • Object dynamics learning
  • Haptic property estimation
  • Object recognition

Intelligent Capabilities

Document Information Extraction

Deep learning models enable computer vision tools to perform object classification and localization for information extracted from text documents, reducing costs and admin errors.

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Quality Assurance By Visual Inspection

Automate quality control and evaluation measures using sophisticated inspection tools that follow continuously improving accuracy standards powered by machine learning protocols.

Biometrics

Improve your security posture with automated detection tools that authenticate personnel credentials using biometric identification markers unique to each user.

Internet Of Things (IoT)

With AI analytics and cognitive learning, the Internet of Things (IoT) can prepare you for the new era of predictive forecasting.

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