Overview
The article provides updates from the Coral platform, focusing on enhancements for building edge ML applications. Key highlights include a critical software update for the Coral Dev Board, new demos, and tutorials aimed at improving user experience and functionality.
What You'll Learn
1
How to install the latest Mendel update on the Coral Dev Board
2
How to utilize the Coral Manufacturing Demo for worker safety and visual inspection
3
How to implement ML acceleration using Coral USB Accelerator in a web environment
4
How to explore and select models from the new models repository
5
How to perform transfer learning for object detection using Google Colab
Prerequisites & Requirements
- Basic understanding of machine learning concepts
- Familiarity with Google Colab and GitHub(optional)
Key Questions Answered
What is the critical update for the Coral Dev Board?
The critical update for the Coral Dev Board involves installing the latest Mendel update to fix a power configuration issue in the SoC. This update is essential to prevent overstressing the SoC, which could reduce the device's lifespan.
How can I use the Coral Manufacturing Demo?
The Coral Manufacturing Demo showcases how to use a single Coral Edge TPU for tasks like worker keepout detection and apple quality grading. It is customizable for different inputs and tasks, primarily written in C++ and designed for x86 systems but also supports ARM Cortex-A systems.
What new features are available for the Coral USB Accelerator?
The Coral USB Accelerator now supports WebUSB, allowing users to run ML models directly from Chrome. The WebCoral demo enables users to select models and perform inference accelerated by the Edge TPU.
What resources are available in the new models repository?
The new models repository provides access to various trained models for tasks like image classification, object detection, and speech recognition. Each model includes details about training datasets, input sizes, latency, and accuracy, along with links to training scripts and example code.
Technologies & Tools
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Hardware
Coral Edge Tpu
Used for accelerating machine learning inference tasks.
Tools
Google Colab
Platform for running tutorials on transfer learning.
Programming Language
C++
Language used for the Coral Manufacturing Demo.
Key Actionable Insights
1Ensure to install the latest Mendel update on your Coral Dev Board to avoid potential hardware issues.This update addresses a critical fix in the SoC power configuration, which is vital for maintaining the longevity of your device.
2Leverage the Coral Manufacturing Demo to enhance safety and quality control in manufacturing processes.This demo not only showcases practical applications but also serves as a customizable template for various manufacturing tasks.
3Utilize the new models repository to find the best-fit model for your application needs.The repository simplifies the process of exploring models, making it easier to select based on specific performance metrics and requirements.
4Explore transfer learning tutorials to create task-specific models compatible with the Edge TPU.These tutorials provide hands-on guidance, making it easier to adapt pre-trained models for unique applications.
Common Pitfalls
1
Neglecting to install critical updates can lead to hardware malfunctions.
Many users may overlook software updates, assuming their devices are functioning correctly. Regularly checking for updates is essential to maintain device performance and longevity.
Related Concepts
Machine Learning
Edge Computing
Coral Platform
Transfer Learning