Integration of TensorFlow Lite with FreeRTOS for Gesture Recognition скачать в хорошем качестве

Integration of TensorFlow Lite with FreeRTOS for Gesture Recognition

In this final session of the year and the concluding episode of our series on Edge AI, we delve into the integration of TensorFlow Lite with FreeRTOS for a gesture recognition application. Join hosts Zacck and Wafa as they discuss the challenges of implementing AI at the edge, including data collection, model training, and running inference on microcontrollers. We also tackle real-world problems like memory constraints and data standardization, with live interactions and questions from participants. Perfect for enthusiasts looking to understand the complexities of running AI applications on constrained devices. 00:00 Introduction and Welcome 01:08 Technical Difficulties and Setup 03:52 Discussion on Edge AI Projects 05:47 Challenges in AI Model Training 10:04 Data Collection and Processing 32:13 Model Minimization and Integration 42:12 Q&A Session 44:00 Designing with ESP32 S3 and SD Card Considerations 45:33 Memory Requirements for AI Applications 48:03 Running Inference on ESP32 49:06 Challenges with TensorFlow Lite and Microcontrollers 49:55 Using Bazel for TensorFlow Integration 51:06 Flash Memory and PSRAM Considerations 53:16 Running Code from External Storage 59:15 Community Q&A and Feedback 01:08:21 Future Plans and Community Engagement ----------------------------------------- Follow us on: LinkedIn:   / 97470436   Instagram:   / devheads.io   Facebook:   / devheadsofficial   TikTok:   / devheads.io   Twitter / X: https://x.com/devheadsio Reddit:   / devheadsio   #edgeai #tensorflow #freertos #gesture #ai #microcontrollers #embeddedsystems #aichallenges #machinelearning