Market Research Analysis

This project will include: MVP Development, User Selection, User Tests/Effectiveness, and Data/Feature Development MVP  "features" analysis for initial user tests User Selection of patients that fit into the patient description we are building it for >50 years old with AMD/Diabetes User Tests / Effectiveness to establish success and efficacy rate Data / Feature Analysis of the user results and then determine which features should be prioritized for inclusion into the product Objective of this project: Prioritization / Product Roadmapping and Release MVP development and its prioritized features into the product roadmap / plans Consider if we need clinical trials Resources we will provide: Research Science and Technology Plan Competitor analysis overview MVP development plans Final Project Deliverables by Student: Excel file containing data analysis A PowerPoint summarizing results

Research and Analysis

This project will include: Review and analysis of medical literature and research papers to find opportunities for keeping eSight at the bleeding edge of low vision wearable aid technology (both medical and technology journals) Gather all related material (research papers, publications) related to low vision and AMD/Diabetes, and relevant technologies for wearables Distill all the research into actionable items Organize current research and MVP development analysis, user data and market research in a quantitative summary Suggest next steps to improve the product offering KOL engagement Objective of this project: Audit, review and continue the Research Science Plan including data analysis of current market research, user data and features of MVP development; with the assistance of literature review and KOL engagement Resources we will provide: Research Science and Technology Plan Competitor analysis overview MVP development plans Final Project Deliverables by Student: Excel file containing data analysis A PowerPoint summarizing results Strategy and plans for improvement KOL relationships

Machine Learning Image Processing- AI work

Software Imaging Intern - The student will help lead / improve the imaging processing algorithms for eSight corporation involving retinal remapping, Amsler Grid, FDT, sectional magnification and do visual acuity checks for our patients to name a few. This involves designing and programming low latency video pipeline architectures and algorithms using the Android 11 OS and leveraging the best imaging libraries out there. Some OCR work will be required as well.

Software Image Processing

About the company "At eSight, we make life-changing enhanced vision devices that allow people with serious visual impairment to actually see. The most advanced and versatile low vision assistive technology, eSight is clinically validated and worn daily by thousands of people with legal blindness to achieve their goals. Whether it’s finding a new job, pursuing a degree, travelling the world, or doing all the things that sighted people take for granted, eSight empowers our clients See New Possibilities ." About the project eSight corp. is investing in the R&D process for the development of the next generation eSight device to add to the current product portfolio. We are planning to optimize the best VR software features/AI optimization for the newly designed form factor device. The software features will need to be properly designed, coded, tested on subjects, analyzed, and presented to the management for implementation budget and plan. The goal for the Mitacs project is for the student to help lead / improve the imaging processing algorithms for eSight corporation involving distortion detection and correction, retinal remapping, Amsler Grid, FDT, sectional magnification and do visual acuity checks for our patients. This involves designing and programming low latency video pipeline architectures and algorithms using, leveraging the best imaging libraries out there and providing the product team a tool for subject testing. The results will be analyzed and used in support of a business proposal to management. Required expertise/ skills- max 200 words The candidate should have knowledge and experience in these areas preferred but not essential: · Fundamentals concepts in graphics– image filtering, anti-aliasing, coordinate axes transformations, etc. · Image processing tools and solutions and software algorithms · Basic Algorithms for computer vision · S/W development ● Example algorithms include scaling, tone mapping, HDR, denoising, detail/contrast enhancement, color management, dithering, warping, etc. The candidate will be incorporating user feedback from testing to enhance the system and the user experience. The candidate will be working closely with the R&D and Product team on regular check points, as well as independently carry out tasks to meet deadlines.