1. Envision: Intelligent, Reliable, Quality Solution
Mausumi Acharyya, Ph.D.
CEO
Advenio TecnoSys (P) Ltd

2. Executive Summary Key areas we specialize:
We are a global firm delivering the best possible Image and Data Analysis services in different vertical markets.
Advenio TecnoSys is involved in Data and Image Analytics. We are a multidisciplinary engineering system and software development team aimed at providing quality service and solutions to Image Processing needs. We have a highly skilled development team, well positioned with over 40 years of collective R&D experience.
Image Analytics
Image Forensic
HPC Solutions
Video Analytics
Data Analytics

3. Image Processing & Vision
Our Offering
Image Analytics
Video Analytics
Big Data
Analytics
Forensic Analysis
Image Processing & Vision
Security
Machine Learning
Image Forensic
ML for Big Data:
Assessment of statistical
methodology needs/
possibilities
Custom ML modeling and
algorithm design
Scalability planning
Implementation
architecture and
integration
Security Proactive Solutions:
Number plate recognition
Occupancy detection
Intelligent scene verification
People counting
Perimeter protection
Camera tampering alarm
Traffic flow monitoring
Panic alarm
Left object detection
Image Forensic Applications:
Image & Video Analysis - Examination, evaluation, analysis, enhancement, authentication, comparison
Image & Video Authentication – validate authenticity
Comparative Analysis - comparisons of people, clothing, or vehicles involved in crimes or accidents, or other objects of evidence
Image Analysis Applications :
Healthcare – Medical Images (CT, MRI, PET, X-ray etc.), microscopic images (histology, cytology) , molecular images (gene expression, microarray) data
Life Science – Bioinformatics, Biotechnology
Security – Biometrics (face, finger print, iris recognition)
Industrial Imaging – Defect Identification
Defense – Radar Images
HPC
Parallel Processing
High Performance Computing Services:
Design, Develop & Maintain Applications for large data set computation in real time using immense parallel processing capabilities of CPU/GPU, GPGPU

4. Research & Development
We identify the specific cutting-edge technologies and need in healthcare domain and design and develop innovative solutions based on these needs
We offer complete productization of research output at academic level and go for licensing
We offer upgradation of existing products in absence of right resources and expertise at client’s end
Productization
Advenio
Original algorithm development as per market need
Modification of existing or published solutions
Research & Development
Technical Consultation
Convert research prototype to deliverable product
Innovative Solution
Upgradation
Consultation
Product development consultation
We provide a wide range of solutions and services that help organizations to transform their business

5. Hyperspectral & Multispectral Remote Sensing Mathematical Modeling
Knowledge Base
Image Processing
Pattern Recognition
Machine Learning
Computer Vision
Data Mining
Hyperspectral & Multispectral Remote Sensing
Statistical analysis
Video Processing
Mathematical Modeling
Soft-Computing

6. Specialized Knowledge
Object Recognition & Detection
Shape Analysis
Segmentation
Texture Analysis & Synthesis
Image Reconstruction
Image & Video matching
Image Compression & Decompression
Feature extraction in spatial and frequency domain
Data Fusion/Registration
Pre- and Post- Processing (image corrections, noise removal, deblurring, image enhancement etc.)
Classification and Prediction
Video Processing

7. Domain
Healthcare – Medical Images (CT, MRI, PET, X-ray etc.), microscopic images (histology, cytology) , molecular images (gene expression, micro-array) data
Life Science – Bioinformatics, Biotechnology
Security – Biometrics (face, finger print, iris recognition)
Industrial Imaging – Defect/Purity Identification (Textile, Food, Consumable Items, Civil Structure, Mechanical Systems, Steel Plant, Coal Mines and many more)
Video Processing - Number plate recognition, Occupancy detection, Intelligent scene verification, People counting, Left object detection, Camera tampering alarm, Traffic flow monitoring etc.
Defense – Radar Images
Agriculture – Satellite Images
Mining - Satellite Images
Climatology - Satellite Images
Social & Media – Any kind of Image Processing for Fun Applications
And Many More

8. Case Studies
Credible Projects

9. Texture Analysis
Considerable knowledge and experience on Texture Analysis
Developed several novel algorithms for Texture Analysis
Segmentation of multi-textured images
Textures which are even difficult to discriminate visually by human eye were being discriminated by the machine vision algorithm developed
Features developed were affine transformation (scale, rotation, translation) invariant
Document image (scanned documents) segmentation for separating textual and graphics parts applicable for second generation compression
Features developed were invariant to skewness, resolution, rotation etc.
Satellite image segmentation for classifying different regions like: habitation, vegetation, water bodies, man-made structures, open areas etc.
Designed and developed a novel neuro-fuzzy based unsupervised classifier for this purpose

10. Texture Analysis
Algorithm involves in-depth knowledge of Texture Analysis, Wavelet Analysis, Feature Extraction, Classification, Fuzzy Set Theory, Neural Network & Soft Computing
Input Textured image where some of the regions are not discriminable as different class even visually
Segmented image based on different textured regions
Input Textured image
where some of the regions are not discriminable as different class even visually
Segmented image based on different textured regions
Novelty of the algorithm is that it identifies textured regions as different class which are even very difficult to identify visually by human

11. Document Segmentation – Second Generation Compression
Skewed image and its segmented output
Test image with document skewed and text regions with different orientations and its segmented output
Test image with non-convex and overlapping object boundaries and its segmented output
Novel algorithm developed for segmentation of textual part from graphics part which is essential for second generation compression. Here text and graphics parts were considered as two different textured regions.

12. Satellite Image Classification
Several regions were accurately segmented by the algorithm based on textures.
In the Bombay IRS image even the two different densities in the Arabian Sea were identified correctly.
In the Calcutta IRS image the open space which is a race course and even the Howrah bridge were identified correctly.

13. Nodule (Lesion) Detection in Chest X-ray
4 US Patents
Novel algorithms were developed for identification of nodules (lesions) in chest X-rays.
Chest X-ray data is a 2D projection image where each pixel represents a volumetric integration posing a challenge in detection and estimation of nodules and
their characteristics.
Several algorithms were developed to reduce False Positives or Nodule-look-alikes detection.
Algorithm involves in-depth knowledge of
Segmentation, Mathematical modeling, Pre- & Post Processing, Fractal Analysis, Shape Analysis, Image Analysis, Machine Learning, Statistical Analysis

14. Bleed (Aneurysm) Detection in Brain CT, Trauma Cases
2 US Patents
Novel algorithms were developed for identification of subtle bleeds in brain CT images without contrast for trauma cases posing immense challenge
Several algorithms were developed to reduce False Positives bleed-look-alikes (calcification, fresh-flowing blood, bright falx)
Algorithm involves in-depth knowledge of Segmentation, Registration, Mathematical modeling, Pre- & Post Processing, Morphological Operations, Image Analysis, Machine Learning

15. Lie Detection in Functional MRI (fMRI) Images
Novel approach one of the first attempts to find alternative to Polygraphs. Novel algorithm for identifying whether someone is telling a lie or truth based on functional MRI images. A one hundred percent classification accuracy was obtained on a set of unknown data (images) Algorithm involves exhaustive use of Registration both Rigid & Deformable and Non-linear Pattern Classification

16. Tuberculosis Bacilli Detection in Sputum Smears (microscopic image)
US Patent Algorithm identifies TB Bacilli in microscopic images of sputum smears Algorithm based on Color Image analysis, Morphology, Machine Learning

17. Hairline Crack Detection in Bone X-ray, CT etc
US Patent Algorithm involves use of exhaustive Image analysis like several feature extraction including fractal analysis, Gabor orientation mapping etc. & Machine Learning Techniques

18. Foreign Material and Crack Detection in Chocolate Bars (X-ray)
Original image
Crack identification
Original image
Identified foreign element
Defect Analysis in X-ray images of Chocolate bars
This involved an unsupervised technique to identify crack or presence of any foreign materials inside the bars.
In this analysis no reference image were used and it is completely a machine vision technique
Original image
Identified foreign element

19. Segmentation of stained microscopic image of Root
Segmentation of stained microscopic images of Root
Algorithm involves different state-of-art image segmentation techniques

20. Pulmonary Embolism Detection in CT Angiogram
Pulmonary embolism (PE) is a serious medical condition, characterized by the partial/complete blockage of an artery within the lungs Novel algorithm developed for PE detection and several algorithms for reducing False Positives or PE-look-alikes Algorithm involves use of exhaustive Image analysis & Machine Learning Techniques

21. Subtle Nodule Detection in Low Resolution Lung CT images
Algorithm identified very subtle nodules which were missed by radiologists Algorithm involves use of exhaustive Image analysis, Deformable Registration & Machine Learning Techniques

22. Alzheimer Detection in Diffusion Tensor MRI (DTMRI) Images
Diffusion tensor tractography
Algorithm based on Singular Value Decomposition, Tensor Analysis, Deformable Registration and intensive Mathematical modeling

23. Mammogram Segmentation and Nodule Detection
Mammogram segmentation and Nodule detection. It is extremely challenging to segment mammograms which are digitized from X-ray films due to presence of noise and other artifacts
Algorithm based on Morphological operations, Segmentation based on Active Contour and Fuzzy Sets and intensive Mathematical modeling

24. Bitting Code Generation in Locksmith Key
Locksmith Key Coding:
Mobile Application
Automatic detection, segmentation, bit edge profiling and generation of code from space and depth information

25. Face Authentication Face Authentication:
Face recognition feature extraction, authentication

26. Iris Authentication Iris Authentication:
Eye lash and other denoising and segmentation of pupil and iris region. Encoding the iris for authentication

27. Optical Character Recognition (OCR)
Automated Answer Script Evaluation (Optical Character Recognition)
Algorithm involves rigid registration and Scale Invariant Feature Transform (SIFT)

28. Optical Character Recognition
Removal of “Phrase” from Text Document

29. Bioacoustics
Bird Chirp Identification and Classification

30. Accelerometer Data Analysis
Golf Swing Key Points Identification

31. Watermark
Watermarking - novel algorithm developed to embed patient information in medical images as watermark
The uniqueness and novelty of the algorithm lies in the fact that apart from the use of embedded watermark as an information source we can watermark some extra ‘text’ information pertaining to the image. We see this as a revolutionary tool in the arsenal of a radiologist using a CAD suite, wherein he can embed certain crucial information into an image rather than relying on the DICOM header. The significant benefit would be the selective access of this information and its being free of traditional viewing platforms. Thus the watermark here acts in actual way of both conveying information as well as providing security. A failure of the watermark would mean the non-reliability of both the image as well as the additional information thereby maintaining its traditional purpose.
Algorithm involves Wavelet Analysis, quantization, coding
Published Patent

32. Satellite Image Segmentation
Region classification of satellite images into different categories like vegetation,
building area, shadows, road area etc

33. Satellite Image Segmentation

34. Satellite Image Segmentation

35. Liver Histology (Biopsy) Image Analysis for Automatic Detection and Grading of Liver Diseases
Automatic Lesion detection and gradation of Liver diseases
Algorithm involves novel machine learning and image processing techniques for extraction of features and classification
Steatosis
Lobular Inflammation

36. Histology (Microscopic Tissue Images) Image Analysis of different Organs for aiding Drug Development
Detection of Normal and Abnormal Organs
Algorithm involves novel machine learning and image processing techniques for extraction of features and classification

37. Image Forensic Identifying image tampering, alteration or forgery
Passive Authentication - Patterns of original images are distinguishable due to the different imaging devices and image processing inside them. Original patterns constrained by the statistical characteristics in natural scenes, physical conditions in a scene, etc. would be altered after tampering.
Passive forensics can be converted to a problem of pattern recognition
Solution to the problem is finding the different patterns according to the knowledge from various imaging devices or the manipulations or the natural scene constraints, etc.
Selected patterns with distinguishing ability are crucial for this new technology

38. Knowledge of image acquisition model
Passive Forensic
Identification of image source
Imaging devices have varying characteristics due to different
physics apparatus
image processing
parameters applied inside the imaging devices
Lead to different patterns of the output images
Use these patterns as inherent “fingerprints” of the imaging devices to identify the source of the image
Feature Extraction
Feature Map
Pattern Extraction
Pattern Map
Image X
Imaging Device
Knowledge of image acquisition model
Compare
Similarities between patterns and characteristic features measured. Confidence measure for each imaging device to identify the source of the image is computed.

39. Knowledge of image manipulation model
Passive Forensic
Detection of image alteration
Original images always contain some consistent characteristics
noise distribution
light condition
Characteristics change after image post-processing (alterations)
Some features of the altered images become more or less inconsistent
Finding the differences before and after the operations is the key of the technology
Feature Extraction
Feature Map
Pattern Extraction
Pattern Map
Image X
Original/ Altered Image
Knowledge of image manipulation model
Compare
Extract features from image X and obtain the original/ altered patterns mainly using the knowledge of the image manipulation model. Compare the distance between the features and the patterns to decide whether or not image X has been altered

40. Image Forensic
Fourier analysis of histograms of the images to determine if a JPEG image underwent double compression
Localize which portions underwent double compression by analyzing difference images
Any forgery in the image or splicing of two images from different cameras can be identified by analyzing the correlations introduced by performing color filter array (CFA) interpolation and demosaicking
Any tampering can be measured by the local correlation of camera noise or photo-response non-uniformity noise (PRNU) and the image
Forgery due to splicing of images require resampling which disturbs the specific correlation of the image. Estimating this correlation using expectation maximization can identify the forgery
A common manipulation is to copy and paste portions of an image to replicate an object or conceal a person in a scene called cloning. Presence of identical (or virtually identical) regions in an image can, therefore, be used as evidence of tampering. Image similarity measure, by matching key points in the images using different techniques like scale invariant feature transform (SIFT) and random sample consensus algorithm (RANSAC) can be used to identify this cloning

41. Image Forensic
Computer graphics (CG) capable of generating highly realistic images. But CG images are rendered under idealized models of geometry, lighting, camera optics and sensors, and their underlying statistics differ from those of photographic images. Image decomposition at different orientation, scale and spatial frequency that are localized in spatial position would capture all the statistical irregularities in case of CG images
Creating a photo composite requires translation, scaling, rotations of portions of an image. Such image-based manipulations can change the effective intrinsic camera parameters. Differences in these estimated parameters can be used as evidence of tampering
Shadow analysis (light travels in straight line so lines drawn on shadows and objects should intersect at one point (light source). This can be used to analyze any forgery
Image created by splicing together individual images is difficult to exactly match the lighting effects due to directional lighting (e.g., the sun on a clear day). Differences in lighting can be a telltale sign of tampering. Direction of the light source can be estimated for different objects/people in an image, inconsistencies in the lighting direction can be used as evidence of tampering

42. Products
OptiNio – Retinal abnormality detection software CheckCount – Automated counter of production of any item

43. Brief Profile of Founder & CEO
Dr. Mausumi Acharyya
Post-Doc (Medical Imaging), University of Pennsylvania, USA
PhD, Computer Science (Image Processing), Indian Statistical Institute, India
M.Tech and B.Tech (Electronics & Telecommunication), Calcutta University, India
13+ years in IT industry (GE Global Research, Siemens, Defense Research &
Development Organization)
20+ years of rich research experience in Multifarious domains
Distinguished research and development exposure in
Signal/Image processing
Medical Image Processing
Machine Learning and Vision
In-depth understanding and extensive knowledge of designing and development of Image, Video, Data analytics applications
Key in successfully delivering several commercial products during her engagement with the above organizations
Mausumi holds several US Patents and international publications to her credit

44. Advenio TecnoSys Pvt. Ltd. STEP, IIT, Kharagpur, India
Contacts
Advenio TecnoSys Pvt. Ltd.
STEP, IIT, Kharagpur, India
Dr. Mausumi Acharyya, CEO ,

45. Proprietary and Confidential
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Proprietary and Confidential
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46. Transpiring Innovation
Thank You
Transpiring Innovation