AI Image Processing

We deliver custom built Pattern Recognition Models & Ensemble Deep Learning APIs through deep learning, real-time video analytics and edge AI computation.

Readily available high precision AI models:

  • Person Detection – RGB & IR
  • Vehicle Detection – RGB & IR
  • Automatic Number Plate Recognition (ANPR)
  • Boat Detection
  • Face Detection & Verification
  • Object Tracking
  • Activity Recognition
  • Image Haze/Noise Removal
  • Image Deblurring & Super Resolution

In house AI Algorithms for various tasks

  • Image Classification
  • Object Detection & Identification
  • Multi-class Multi-object Tracking
  • Human Pose Estimation
  • Face Recognition and Verification
  • Image Enhancement
  • Image Restoration

Our Capabilities

  • Automatic AI model development (Detection & Tracking) for custom targets
  • Transfer learning support for state-of-the-art CNN architectures
  • Accelerated Edge computing (Jetson & Xilinx platform)
  • High precision & real-time inference AI models
  • Real-time video analytics
  • End-to-End AI applications
  • Secured REST API communication for multi device control and multi sensor integration nodes
  • Smart video recording & Automated alert system
  • Client-Server communication with On-the-Fly model & data update with zero application downtime
  • User-friendly dashboards with detailed instructions
  • All day operation with IR and RGB camera sensors integration

Gait Recognition

AI-based detection of a person based on physiological parameters

HC Robotics stands out as an innovator with a robust suite of cutting-edge products. Our face recognition suite consists of advanced algorithms to extract the relevant information from the images for faster processing with high degree of accuracy.

HC Robotics uses DL (Deep Learning) models come out with rich and compact representations of faces to identify and classify them in a large dataset of faces. Our face recognition algorithms get better with time, and contribute to making life easier so that the consumer can focus on what matters the most.

Our neural networks-based gait recognition recognizes the physiological parameters such as built, height, and walking style of a person. Thereafter, these parameters are used for generating the gait patterns and identification of the person.

It is generally difficult to collect clear data of a moving object using a regular camera. This inaccuracy impacts the AI model accuracy and training.

We have custom-built camera with direct image data output, having the capability to capture fast-moving objects crystal clear, and at 15-20 fps rate with 4k resolution. Even objects at long distances can be captured clearly without losing much pixel information.

We provide a user-friendly dashboard to analyze real-time gait analysis, including custom-enhanced image like adjustment, contrast, and zoom in and zoom out of the region of interest, etc.