Saturday, November 25, 2023
Google Announce the Open Source Release of Project Guideline: Revolutionizing Accessibility with On-Device Machine Learning for Independent Mobility
Google Announce the Open Source Release of Project Guideline: Revolutionizing Accessibility with On-Device Machine Learning for Independent Mobility AI News, AI, AI tools, Innovation, itinai.com, LLM, Madhur Garg, MarkTechPost, t.me/itinai πΉ Project Guideline: Revolutionizing Accessibility with On-Device Machine Learning for Independent Mobility πΉ Introducing Project Guideline, an innovative solution empowering individuals with visual impairments to walk or run independently. This groundbreaking project utilizes on-device machine learning (ML) on Google Pixel phones to provide audio cues, obstacle detection, and a designated guideline on a pedestrian pathway, ensuring safe navigation through the physical world. π Key Features and Technology π Project Guideline leverages on-device ML tailored for Google Pixel phones, eliminating the need for external guides or guide animals. The technology behind the project includes: ✅ ARCore: Estimates the user's position and orientation as they navigate the designated path. ✅ DeepLabV3+: Segmentation model that detects the guideline, generating a binary mask outlining its trajectory. ✅ Monocular depth ML model: Identifies obstacles, such as people, vehicles, and posts, by discerning their depth. ✅ Low-latency audio system: Delivers real-time audio cues to guide the user effectively. π‘ How It Works π‘ The core platform of Project Guideline is crafted using C++ and integrates essential libraries like MediaPipe. ARCore estimates the user's position and orientation, while the segmentation model generates a 2D map of the guideline's trajectory. The control system dynamically selects target points on the line, providing a navigation signal that considers the user's current position, velocity, and direction. Obstacle detection, facilitated by a depth model trained on a diverse dataset, adds an extra layer of safety. π Value and Impact π Project Guideline represents a transformative stride in computer vision accessibility, combining machine learning, augmented reality technology, and audio feedback. By open-sourcing the project, Google emphasizes its commitment to inclusivity and innovation. This initiative enhances users' autonomy and sets a precedent for future advancements in assistive technology. π Evolve Your Company with AI π To stay competitive and leverage AI for your company's advantage, consider the Open Source Release of Project Guideline. Here are practical steps to evolve your company with AI: 1️⃣ Identify Automation Opportunities: Locate key customer interaction points that can benefit from AI. 2️⃣ Define KPIs: Ensure your AI endeavors have measurable impacts on business outcomes. 3️⃣ Select an AI Solution: Choose tools that align with your needs and provide customization. 4️⃣ Implement Gradually: Start with a pilot, gather data, and expand AI usage judiciously. For AI KPI management advice and continuous insights into leveraging AI, connect with us at hello@itinai.com. Discover how AI can redefine your sales processes and customer engagement with the AI Sales Bot from itinai.com/aisalesbot, designed to automate customer engagement 24/7 and manage interactions across all customer journey stages. π List of Useful Links π πΉ AI Lab in Telegram @aiscrumbot – free consultation πΉ Google Announce the Open Source Release of Project Guideline: Revolutionizing Accessibility with On-Device Machine Learning for Independent Mobility πΉ MarkTechPost πΉ Twitter – @itinaicom
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LLM,
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t.me/itinai
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