കോറൽ ഡെവലപ്‌മെന്റ് ബോർഡ് ഉപയോക്തൃ മാനുവൽ

ആമുഖം

The Coral Dev Board is a compact single-board computer designed for quickly prototyping on-device machine learning (ML) products. It features a removable System-on-Module (SoM) and an on-board Edge TPU coprocessor, enabling high-speed ML inferencing with low power consumption. This manual provides essential information for setting up, operating, and maintaining your Coral Dev Board.

ഉൽപ്പന്നം കഴിഞ്ഞുview ഘടകങ്ങളും

The Coral Dev Board integrates a System-on-Chip (SoC) with ML capabilities and wireless connectivity, running a derivative of Debian Linux called Mendel.

ബോക്സിൽ എന്താണുള്ളത്

• Removable system-on-module (SOM)
• 40-pin GPIO expansion header
• 3.5 എംഎം ഓഡിയോ ജാക്ക്
• 2 digital PDM microphones
• 2.54mm 4-pin terminal for stereo speakers
• ടൈപ്പ്-സി പവർ പോർട്ട്
• Type-C OTG port
• Type-A 3.0 host
• Micro-B serial console port

ബോർഡ് ലേayട്ട്

Familiarize yourself with the key components of the Coral Dev Board.

ചിത്രം: ആംഗിൾഡ് view of the Coral Dev Board, showcasing the heatsink and fan assembly, various ports (USB, HDMI), and the GPIO header. This board is designed for on-device machine learning.

ചിത്രം: മുകളിൽ നിന്ന് താഴേക്ക് view of the Coral Dev Board, highlighting the central fan and heatsink, along with the various connectors and chips on the board.

ചിത്രം: താഴെ view of the Coral Dev Board, showing the underside of the circuit board with various solder points and the "Google" branding.

ചിത്രം: മുകളിൽ നിന്ന് താഴേക്ക് view of the Coral Dev Board with a standard paperclip placed next to it, illustrating the compact size of the development board.

സജ്ജമാക്കുക

To begin using your Coral Dev Board, you will need to set up the operating system and development environment.

പ്രാരംഭ സജ്ജീകരണ ഘട്ടങ്ങൾ

1. വൈദ്യുതി വിതരണം: Connect a compatible Type-C power supply to the board's power port.
2. ഡിസ്പ്ലേ കണക്ഷൻ: Connect a display via the HDMI port if you require a graphical interface.
3. നെറ്റ്വർക്ക് കണക്ഷൻ: Connect to a network via Ethernet or configure Wi-Fi.
4. ഓപ്പറേറ്റിംഗ് സിസ്റ്റം: The board runs Mendel, a derivative of Debian Linux. Refer to the official Coral documentation for detailed instructions on flashing the OS image to an SD card and booting the device.
5. വികസന ഉപകരണങ്ങൾ: Install the Mendel development tools on your host machine. A 64-bit operating system is required for these tools.
6. SSH Access: Configure SSH access for remote login and file transfer. You may need to use the Mendel development tools to push SSH keys.

സോഫ്റ്റ്വെയർ പരിസ്ഥിതി

The Coral Dev Board is optimized for machine learning inference using TensorFlow Lite models.

• TensorFlow Lite: Ensure your machine learning models are converted to TensorFlow Lite format for optimal performance on the Edge TPU.
• Python Support: Currently, Python is the primary language supported for development. Support for C++ is expected in future releases.

Operating the Coral Dev Board

The core functionality of the Coral Dev Board lies in its ability to perform high-speed machine learning inferencing on-device, thanks to its Google Edge TPU coprocessor.

On-Device ML Inferencing

The Edge TPU is capable of performing 4 trillion operations per second (TOPS), using only 0.5 watts per TOP. This allows for efficient execution of state-of-the-art mobile vision models, such as MobileNet V2 at 400 FPS.

അപേക്ഷകൾ

The Coral Dev Board is ideal for applications requiring high-performance computer vision with a small footprint and energy efficiency. This includes:

• Automated quality control in manufacturing.
• Robotics and autonomous systems.
• Smart home devices.
• Predictive maintenance.
• Any edge computing scenario where real-time ML inference is critical.

സ്പെസിഫിക്കേഷനുകൾ

മെയിൻ്റനൻസ്

To ensure the longevity and optimal performance of your Coral Dev Board, follow these maintenance guidelines:

• വൃത്തിയായി സൂക്ഷിക്കു: Regularly clean the board with a soft, dry brush or compressed air to remove dust and debris, especially from the fan and heatsink.
• താപനില നിയന്ത്രണം: Ensure adequate ventilation to prevent overheating. The board is designed to run efficiently, but prolonged high-load operations in confined spaces may require additional cooling.
• ശ്രദ്ധയോടെ കൈകാര്യം ചെയ്യുക: Avoid static discharge by handling the board on an anti-static mat or by wearing an anti-static wrist strap.
• സോഫ്റ്റ്‌വെയർ അപ്‌ഡേറ്റുകൾ: Periodically check for and install software updates for the Mendel operating system and TensorFlow Lite to benefit from performance improvements and security patches.

ട്രബിൾഷൂട്ടിംഗ്

If you encounter issues with your Coral Dev Board, consider the following common troubleshooting steps:

പൊതുവായ പ്രശ്നങ്ങളും പരിഹാരങ്ങളും

1. ബോർഡ് ഓണാക്കുന്നില്ല:
   • Verify the Type-C power supply is correctly connected and provides sufficient power.
   • പവർ ഔട്ട്ലെറ്റ് പ്രവർത്തനക്ഷമമാണെന്ന് ഉറപ്പാക്കുക.
2. ഡിസ്പ്ലേ ഔട്ട്പുട്ട് ഇല്ല:
   • Check HDMI cable connections.
   • Ensure your display supports the board's output resolution. Some small LCDs may not be compatible.
3. നെറ്റ്‌വർക്ക് കണക്റ്റിവിറ്റി പ്രശ്നങ്ങൾ:
   • For Ethernet, check cable connection and router status.
   • For Wi-Fi, verify network credentials and signal strength.
4. ML Inference Issues:
   • Confirm your models are correctly converted to TensorFlow Lite format.
   • Ensure the Edge TPU is properly recognized by the system.
   • Check for any error messages in your application logs.
5. മന്ദഗതിയിലുള്ള പ്രകടനം:
   • Verify that your ML models are indeed running on the Edge TPU and not the CPU.
   • Monitor board temperature; excessive heat can lead to throttling.

For more detailed troubleshooting, consult the official Google Coral documentation and community forums.

വാറൻ്റിയും പിന്തുണയും

For information regarding warranty coverage, technical support, and additional resources, please refer to the official Google Coral website or contact Google's customer support. Keep your purchase receipt for warranty claims.