Computer Vision & Image Processing
Computer Vision & Image Processing
At KritiKal, we take pride in designing superior algorithms for achieving maximum achievable accuracy and run-time performance. Our offerings include Real-Time Video processing & Image Analysis solutions, Data Labeling, Automated Testing and HITL (Human in the Loop) Services. Our Computer Vision services include the selection of Imaging Sensors, Cameras, and Image Digitization Circuitry, Lighting, Placement and Mounting, and choosing the right processing platform for software development and integration with other electronic or electro-mechanical systems. Combined with our strength in Embedded Systems, we offer the capability to design and develop ‘embedded-vision’ systems and camera internal electronics as well. Algorithms are designed from scratch in C++/C or other suitable languages, KritiKal internal modules/libraries, as well as by using tools such as MATLAB (for quick proof of concepts) and OpenCV (open source) among others.
Service Offerings
Geometry
3-D Geometry
The real-world is all about three-dimensional shape. One of the ways of describing a 3D object is by approximating or assuming its shape as a mesh of triangles.
At KritiKal, we model real-world objects, and many other physical quantities and offer solutions around your problems.
Image Pre-processing, Enhancement & Restoration
Image enhancement and restoration aims towards making the image more easily processable. This can be through contrast enhancement, sharpening, smoothing or removal different types of noise using different image processing filters. Image preprocessing is a series of image processing steps that aid in making the image ready for processing for a specific application. For example, the preprocessing for skin analysis would be very different from that of OCR. It involves not just image enhancement, noise removal but also various operations like image resizing, morphological correction and connected component analysis.
We at KritiKal use contrast enhancement, spatial filtering, deblurring, erosion, dilation and other techniques to enhance the quality and the information content of the original data before processing for specific application.
Registration
Image Registration
Commonly images are captured under various variable conditions which may cause misalignment. The Image registration technique helps in aligning of two or more images of the same scene. Image registration is the process of aligning two or more images acquired at different times, from different sensors and from different viewpoints. It is the process of transforming the different sets of data into one co-ordinate system.
At KritiKal, we employ various algorithms for image registration to align images, be they satellite images, medical image analysis or from different Computer Vision applications.
Segmentation
Image Segmentation
This involves partitioning of an image into a set of segments (set of pixels). Image segmentation is typically used to locate objects and boundaries (lines, curves, etc.) in images. More precisely, image segmentation is the process of assigning a label to every pixel in an image such that pixels with the same label share certain characteristics. These could be based on color, texture, intensity or other features. The regions
We at KritiKal perform Image Segmentation to simplify the representation of an image into something that is more meaningful and easier to analyze. This forms the basis for numerous computer vision applications such as object detection ,classification, OCR, lane detection, face detection & recognition, medical image analysis.
Detection
Point, Line & Edge Detection
Point, line and edge detection are certain basic image processing techniques useful in preprocessing, feature extraction and different applications.
Point detection refers to detection of a set interest points within an image which can be used to represent the image. Edge detection is an image processing technique for detecting the discontinuities in brightness in an image. Line detection is a technique that takes a collection of edge points and finds all the lines on which these edge points lie.
At KritiKal Solutions, we employ point, line & edge detection algorithms to process images for preprocessing and feature extraction in various applications such as skin and healthcare and text detection.
Processing
Signal Processing
Signal Processing is the art and science of modifying acquired time-series data for the purposes of analysis or enhancement. The goal of DSPs (Digital Signal Processors) is usually to measure, filter or compress continuous real-world analog signals.
We use signal processing techniques to emphasize, detect or manipulate components of interest in a measured signal, especially multimedia signals.
Analysis
Image & Video Analysis
The growing amount of image and video content combined with the diversity of the applications require some form of visual interpretation. Through Image and Video analysis, the visual information can be interpreted, which further helps in making informed decisions, classification, analysis and much more.
KritiKal Solutions leverages advances in image & video analysis for a variety of applications such as image feature representation for machine learning, image content analysis and indexing, image quality assessment.
& Tracking
Feature Analysis & Tracking
Feature analysis involves capturing a piece of information which is relevant for solving the computational task related to certain application. Features may be specific structures in an image like points, edges or objects. In Feature Tracking, the extracted features can be tracked over multiple frames.
At KritiKal, we apply advanced Computer Vision, Machine Learning and Image Processing algorithms for feature analysis & tracking.
Community Tools Supported
The Computer Vision & Image Processing practice at KritiKal comprises of experts who have worked on various open source and proprietary business intelligence tools, some of which are outlined below:
Computer Vision Use Cases
Object Detection & Tracking
Face Recognition
Posture Detection
Stock Monitoring
Image Classification / Segmentation
Video Analytics
Looking for On-demand Computer Vision Engineers for your next CV Project?
Case Studies
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Computer Vision & Image Processing
Faster Processes, Increased Reliability
The field of Computer Vision is rapidly expanding and has significantly more processing power and memory today, than in previous decades. Kritikal Solutions being one of the top computer vision companies in india supports this niche. The field is based on real-time computer video analysis, where the images for analysis are supplied by one or more image sensors. Computer Vision and Image Processing based applications have found extensive use in security and surveillance, automotive, medical imaging, entertainment, automation, digitization and related domains. The solutions are based on object detection, classification/recognition and tracking, optical character recognition (OCR), image registration/mosaicing, content based image retrieval (CBIR), 3D vision/measurements and other components.
How KritiKal Solutions helps
KritiKal provides cutting-edge services in computer vision and image processing and is known for the design of superior algorithms and optimized solutions for achieving maximum achievable accuracy and run time performance. We offer real-time video processing solutions for on-line applications along with our off-line video and image analysis solutions, as well as data labeling (ground truth preparation), automated testing and ‘human in the loop services’. Vision system design services by KritiKal include selection of imaging sensors, cameras and image digitization circuitry, lighting, placement and mounting, and choosing the right processing platform for software development and integration with other electronic or electro-mechanical systems. Combined with KritiKal’s expertise in embedded systems, we offer the capability to design and develop ‘embedded-vision’ systems and camera internal electronics as well. Algorithms are designed from scratch in C++/C or other suitable languages, KritiKal internal modules/libraries, as well as by using tools such as MATLAB (for quick proof of concepts) and OpenCV (open source) among others.
Our Competencies
- Technologies: C++, C
- Platforms/Tools: Open CV (Intel), MATLAB
- Capabilities/Examples:
- Real-time Camera-Based Applications Eg: ANPR, ATCC, Security & Surveillance
- Noise Removal and Pre-processing Eg. De-Blurring (fast moving cameras)
- Object Detection and Tracking Eg. Road Sign (OCR), Skin Analysis, Store Audit
- Mosaicing (creating wide angle view panoramas) Eg. Vehicle Underside Scanner
- 3-D Vision (measurements in 3D) Eg. ‘Auto Modeling’ houses (interiors)