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Table of Contents:

1. Introduction
2. Features of the Recomputed Jetson 10
3. Hardware Specifications
4. Software Compatibility
5. Object Recognition on Still Images
6. Object Recognition on Videos
7. Pose Estimation using PoseNet
8. Power Consumption and Low Power Mode
9. Applications of the Recomputed Jetson 10
10. Conclusion

Introduction

The Recomputed Jetson 10 is a palm-sized aluminium case that houses a passively cooled Nvidia Jetson module. It is designed for AI application development and deployment, offering high computing performance and versatility. In this article, we will explore the features, hardware specifications, and software compatibility of the Recomputed Jetson 10. We will also delve into its capabilities in object recognition on still images and videos, as well as pose estimation using PoseNet. Furthermore, we will discuss its power consumption and low power mode. Lastly, we will highlight various applications of the Recomputed Jetson 10 and provide an overall conclusion.

Reccomputed Jetson 10: A Versatile AI Development and Deployment Device

The Recomputed Jetson 10 is an innovative product line from Seed Studios that brings advanced AI capabilities to the palm of your hand. Housed in a sleek aluminium case, this compact device is designed for AI application development and deployment. With its passively cooled Nvidia Jetson module, the Recomputed Jetson 10 is capable of recognizing people, animals, and objects at up to 60 frames per second. In this article, we will explore the features, hardware specifications, and software compatibility of the Recomputed Jetson 10. We will also delve into its capabilities in object recognition on still images and videos, as well as pose estimation using PoseNet. Furthermore, we will discuss its power consumption and low power mode. Lastly, we will highlight various applications of the Recomputed Jetson 10 and provide an overall conclusion.

Features of the Recomputed Jetson 10

The Recomputed Jetson 10 offers a range of impressive features that make it a powerful tool for AI development and deployment. The palm-sized aluminium case houses a passively cooled Nvidia Jetson module, providing high computing performance in a compact form factor. With 128 Nvidia CUDA cores, the Jetson module can deliver up to half a teraflop of computing power. Additionally, the module is equipped with a quad-core ARM A57 CPU running at 1.4 gigahertz, 4 gigs of LPDDR4 RAM, and 16 gigs of eMMC storage.

The Recomputed Jetson 10 also comes with a variety of ports for connectivity and expansion. The back of the case features ports for a 12-volt power input, HDMI and DisplayPort, 4 USB 3 Type-A ports, a gigabit Ethernet port, and a micro USB port for recovery and flashing. The case design incorporates ventilation holes for efficient cooling, as well as mounting points for wall deployment. Whether it's placed on a desk or mounted on a wall, the Recomputed Jetson 10 offers versatility in its positioning.

One of the standout features of the Recomputed Jetson 10 is its easy accessibility. The top cover of the case is magnetically latched, providing hassle-free access to the Jetson module. By simply pushing up on the hidden silver rod, users can effortlessly remove the top cover to connect cameras or utilize the GPIO pins, without the need for a screwdriver.

Please note that the following headings and subheadings are just for reference and may not be in the final article content.

Hardware Specifications

• Nvidia Jetson module
  • 128 Nvidia CUDA cores
  • Quad-core ARM A57 CPU running at 1.4 gigahertz
  • 4 gigs of LPDDR4 RAM
  • 16 gigs of eMMC storage
• Passively cooled heatsink
• Custom carrier board with IO support
  • Power over Ethernet
  • Optional fan plug
  • Controller new art pins
  • M.2 MQ slot
  • Optional battery for real-time clock module

Software Compatibility

• Pre-installed Nvidia Jetpack software
• Support for machine learning frameworks
  • TensorFlow
  • PyTorch
  • MXNet
• Detailed documentation and tutorials provided by Nvidia

Object Recognition on Still Images

• Using the ImageNet network
• TensorRT and ImageNet class for object recognition
• Overlaying image classification results and confidence levels
• Testing with sample images and personal images

Object Recognition on Videos

• Utilizing cameras for live video feed
• Real-time object recognition using the ImageNet network
• Overlaying detected objects and their certainties
• Applications in traffic control, vehicle detection, manufacturing, and logistics

Pose Estimation using PoseNet

• Estimating the position of joints or body parts
• Application in gesture recognition and human behavior monitoring
• Possibilities in building robotic systems

Power Consumption and Low Power Mode

• Power consumption analysis with standard configuration
• Usage of 2m power adapter
• Activation of 5 watt low power mode
• Effects on computing performance and battery life

Applications of the Recomputed Jetson 10

• Implementation in computer vision projects
• Building robots or machines with gesture-based inputs
• People counting, behavior monitoring, and direction estimation
• Various industry applications

Conclusion

• Summary of the Recomputed Jetson 10's features and capabilities
• Versatility in AI application development and deployment
• Ease of use and accessibility
• Potential for innovative projects and applications