Computer Vision Based Object & Image Recognition - Artivatic.ai
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The document describes Artivatic's AI platform, Avvision, which specializes in image recognition and object detection for various applications, including healthcare diagnostics and object identification. It utilizes advanced algorithms for image analysis and pattern recognition to automate processes and improve decision-making. Key use cases include supermarket scanners that recognize products without barcodes by comparing them to a vast database.
Computer Vision Based Object & Image Recognition - Artivatic.ai
- 1. AVVision: Image Recognition & Object Detection Image analysis, Insights and Detection to identify products or image characteristics, disease analysis, diagnostic and more. Confidential Document © Artivatic Data Labs Private Limited. 2017. https://artivatic.ai +91 80 41502526
- 2. Content ▪ Introduction ▪ Object Detection ▪ Implementation ▪ How it works ▪ Applications ▪ Conclusion
- 3. ●Revolutionary AI Platforms that fully digitise business processes, think like human brain to automate decision making and raise your revenue bottom-line. Artivatic (AV)
- 4. AVVision AV-Vision allows the clients to : - ● Identify the matching images without barcode or other information ● Allows in-depth image analysis for pattern identification or object identification ● Allows to identify colour, size, brand, numbers, text and more ● Helps in identification of potential diseases through X-Ray, Diagnostics reports etc. ● Emotional & Behaviours analysis through different postures or from video frames ● Medical image analysis for healthcare (such as noninvasive diagnosis, image-guided radiotherapy, and treatment planning) ● Computer vision for predictive analytics and therapy ● Fundamental algorithms for medical images in healthcare applications, such as segmentation, registration, fusion, and classification ● Scalable, robust, data-driven, ensemble learning, deep learning algorithms for medical images
- 5. Computer Vision ❖ Computer Vision is the study of analysis of pictures and video in order to achieve results similar to those as by humans.
- 6. Object Recognition ??? Object recognition is a process for identifying a specific object in a digital image or video . Like human understanding, it include ● Detection- of separate objects ● Description- of their geometry and position in 3D ● Classification- as being one of a known class ● Identification- of the particular instance ● Understanding- of spatial relationship between Objects
- 7. Usages of Computer Vision
- 8. Key stages of Image Processing
- 9. Pattern Recognition through Computer Vision The assignment of a physical object or event to one of several prespecified categories" ● A Pattern is an object, process or event that can be given name ● A Pattern class( or category) is a set of patterns sharing ● common attributes and usually originating from the same source. ● During recognition( or classification) given object are assigned to prescribed classes. ● A classifier a machine which perform classification.
- 10. Preprocessing of pattern Recognition ● Input Image : A input image used for processing. ● Negate : we apply negate operator.This leave detection lines.Inverting an image leaves a clear boundary of line.
- 11. ● Sobel Operator : In order to find the edges of an image.The Sobel Operator is a discrete differentiation operator. ● Dilate Operator : Dilation are morphological image processing operations.Dilation adds an extra layer of pixels on a structure.
- 12. ● Gaussian Operator: Gaussian Operator in order to reduce noise and make the picture clearer. ● Threshold: Separate out regions of an image corresponding to objects which we want to analyze.
- 13. Feature Extraction by AVVision To extract features which are good for classification. Good Features: ● Object from the same class have similar features values. ● Object from different classes have different values. Good features Bad features
- 14. Example ❖ For a 64 * 128 images ❖ Each block should consist of 2 * 2 Cells with size 8 * 8.
- 15. AVVision – Matching Case Accuracy
- 16. Some Further Use Cases
- 17. Use case #1: The Object Recognition scanner recognize item based on Color and pattern.
- 18. Use Case #2: Supermarket scanner recognizes objects without barcodes ● Uses Object recognition to identify food at the supermarket checkout line. ● The technology uses a camera that compares the food that is being scanned to a large, expandable database of products. ● That camera filters out background “noise” in its pictures, so that it only sees objects held close to its lens against a neutral black background. ● This system claims to be able to make very precise identification of product.
- 19. ARTIVATIC DATA LABS PRIVATE LIMITED 25 & 26, 2nd Floor AVS Compound, Koramangala 4th Block, Bangalore Contact: [email protected] Website: https://Artivatic.ai