Edge Computing for Robotics: The OrbCare Case Study

I made a decision that saved me six months and probably $200,000: I put the AI on the device, not in the cloud. In this episode, I walk through the architecture of OrbCare—a HIPAA-compliant health monitoring robot I'm building—and show you exactly why edge-first architecture isn't just technically superior for hardware startups, it's the only approach that actually works at scale. What you'll learn: The mental model shift from cloud-centric to edge-centric thinking (this changes everything) Why "what needs to happen locally?" beats "what's the minimum to send to cloud?" Real technical decisions: NVIDIA Jetson Orin Nano, YOLO, MediaPipe, encrypted local storage How edge-first architecture makes HIPAA compliance easier, not harder (video never leaves the device) The trade-offs nobody talks about: hardware constraints, updates, debugging, cost structure Edge vs. Cloud decision framework you can use today The case study: All AI inference on-device (object detection, pose estimation, breathing analysis) 20-30 FPS processing with <50ms latency Works during internet outages (designed for disconnection, not connection) Near-zero cloud costs per device Privacy by default—no PHI transmission Why this matters: Most hardware startups default to cloud-first because that's what they know from web development. Then they hit Series B and realize they need to rebuild everything. That's $2-5M and 12-18 months you don't get back. This is the architectural decision that determines whether you scale smoothly or spend 18 months on a rewrite when you should be growing revenue. For founders building robotics, medical devices, IoT, or edge AI—this episode shows you how to avoid that wall. Next episode: HIPAA compliance at the edge—how to build medical device systems without sending sensitive data to the cloud ferreiracto.com Primary:#EdgeComputing#EdgeAI#HardwareStartups#RoboticsArchitecture#MedicalDevices#HIPAACompliance#IoTArchitecture Secondary:#NVIDIAJetson#ComputerVision#StartupCTO#DeepTech#EmbeddedSystems#AIHardware#TechnicalArchitecture Platform/Ecosystem:#BostonStartups#SeriesA#TechnicalDueDiligence#StartupEngineering SEO/Discovery:#EdgeVsCloud#LocalProcessing#RealTimeSystems#PrivacyByDesign#AutonomousSystems