Embedded Car Scanner Prototype

Project Goal: TauLab is testing a new method for our company to collect IoT data using CAN. The goal of this project is for students to design and build a working prototype that collects CAN data from a vehicles OBDII port, processes it locally, and as a bonus, transmits it wirelessly using LTE for further analysis. This project will be completed remotely and will involve multiple stages, including: Understanding the CAN protocol and how it applies to vehicle/industrial data collection. Developing a simple hardware and software prototype that can collect and transmit CAN data. Testing the prototype using simulated or remotely accessible environments. Iterating and refining based on feedback. Project Tasks (Scoped for 60 Hours, Remote Work): By the end of the project, students should demonstrate: Understanding of CAN communication (10 hours): Researching and learning how CAN data is structured, transmitted, and interpreted in vehicle or industrial applications. Proficiency in ESP32 integration (10 hours): Setting up the ESP32 to communicate with a CAN transceiver. Prototype development (15 hours): Writing firmware to collect, process, and transmit data securely. Testing and validation (10 hours): Ensuring reliable data collection and transmission using remote testing environments or simulations. Iteration and improvement (5 hours): Making optimizations based on testing results. Bonus steps (if time allows): Integrating LTE for data transmission Implementing edge processing to reduce transmitted data volume. Adding security measures such as encryption and authentication.

Website UI / UX Design & Prototype

Project Overview: TauLab is looking to redesign our current web interface with a clean, intuitive, and user-friendly UI to display real-time IoT data . Our goal is to create a seamless user experience that allows users to efficiently monitor, analyze, and interact with data collected from IoT devices. Project Scope: 🔹 Understanding TauLab’s IoT Platform Conduct background research on our current web application and IoT data visualization needs. We will provide a walkthrough and access to key resources to help students understand our platform, target users, and industry applications. 🔹 Identifying Key UX/UI Improvements Analyze the current user flow, interface design, and usability pain points. Identify the most effective ways to display real-time IoT data clearly and efficiently. Ensure a simple yet powerful dashboard for quick insights without overwhelming users. 🔹 Design & Prototyping Learn and apply modern UI/UX design principles . Use Figma (or similar tools) to create a wireframe and interactive prototype of the redesigned IoT data dashboard. Ensure the UI is responsive (works on desktop, tablet, and mobile). 🔹 Visualizing IoT Data Develop clear and minimalistic visualizations for real-time sensor readings, alerts, and trends. Explore UI components like charts, graphs, data tables, and interactive widgets to optimize data presentation. 🔹 Usability Testing & Refinement Conduct UX testing with real users to evaluate clarity and functionality. Use paper prototypes, digital mockups, or usability testing software to refine the design. Implement feedback for an improved final prototype . What We’re Looking For: A simple but powerful UI for monitoring IoT data. Intuitive navigation & smooth user experience . Mobile-friendly design with clear data visualization. A prototype ready for implementation into our web platform.