Artificial Intelligent Robot

As the volume distributor of Google Coral, Gravitylink presents Google Coral Edge TPU all serial devices. Coral is a complete toolkit to help enterprises build products with local AI, providing hardware acceleration for neural networks … right on the edge device. Due to its on-device capabilities with efficient, private, fast and offline, many enterprises have begun to use it to build diverse of applications range from healthcare, smart cities, transportation, to manufacturing, STEM education, etc. To meet customers’ needs Coral offers kinds of devices from prototyping ( https://coral.ai/products/#prototyping-products/ ) to production, which is flexible enough for startups and large-scale enterprises. Prototyping devices include Dev Board (Mini version will be released soon) and USB Accelerator. It’s easy to take prototype idea from sketch into proof-of-concept, with the help of these devices. Production-ready devices include a system-on-module, 3 kinds of PCIe module, and a new produ...

1. What is the Edge TPU? The Edge TPU is a small ASIC designed by Google that provides high performance ML inferencing for low-power devices. For example, it can execute state-of-the-art mobile vision models such as MobileNet V2 at almost 400 FPS, in a power efficient manner. Google offers multiple products that include the Edge TPU built-in. Two Edge TPU chips on the head of a US penny 2. What machine learning frameworks does the Edge TPU support? TensorFlow Lite only. 3. What type of neural networks does the Edge TPU support? The first-generation Edge TPU is capable of executing deep feed-forward neural networks (DFF) such as convolutional neural networks (CNN), making it ideal for a variety of vision-based ML applications. 4. How do I create a TensorFlow Lite model for the Edge TPU? You need to convert your model to TensorFlow Lite and it must be quantized using either quantization-aware training (recommended) or full integer post-training quantization. (To create a compatible model...

Coral is enabling a new generation of intelligent devices. Google Coral all hardware is available at Gravitylink online store: https://store.gravitylink.com/global Gravitylink is a global volume distributor of  Google Coral. If you are interested in Google Coral products, and more details about large volume or bulk sales (Volume Discounts) ,  welcome to contact our sales team via email: sales@gravitylink.com or market@gravitylink.co m, and we'll get back to you with our best quotation ASAP.  Coral is a complete toolkit to build products with local AI. Our on-device inferencing capabilities allow you to build products that are efficient, private, fast and offline. Flexible enough for startups and large-scale enterprises Google Coral Solutions for on-device intelligence Object detection: Draw a square around the location of various recognized objects in an image. Pose estimation: Estimate the poses of people in an image by ident...

Local AI can increase crop yields, improve land management, and reduce food waste Local AI provides high performance, offline analysis for agriculture challenges that can improve soil quality, plant health, and crop yield in order to produce more food, reduce environmental impact, and enable sustainable farming practices. According to the UN Food and Agriculture Organization, nearly one third of the world’s food production was wasted or lost, while more than 820 million people went hungry in 2018. To feed the world sustainably, producers will need to increase output while aiding in the reduction of negative environmental impacts, such as erosion, nutrient loss, and greenhouse gas emissions. SOIL ANALYSIS:  Imagine knowing the quality of your soil instantly. Analyzing growing conditions traditionally takes a month or more. This delay can lead to the planting of unsuitable crops, improper application of amendments, or low yields. In subsistence communities it can also mean...

Google Coral is a complete toolkit to build products with local AI.   Among them, Coral Dev Board, Coral USB Accelerator and Coral 5-megapixel camera accessory are suitable for AI beginners and makers. Google now also offers three Accelerators that include Mini PCIe, M.2 A+E key, and M.2 B+M key, which enable easy integration of the Edge TPU into existing systems helping create tailored solutions for your industry and make it easy to take your idea from sketch into proof-of-concept. Google Coral Products All three Edge TPU cards are now available to order for $34.99 on Gravitylink Store and you can also get the original Coral Edge SoM for $114.99. 1. Coral System on Module (SoM) The Coral SoM is a fully-integrated Linux system that includes NXP's iMX8M system-on-chip (SoC), eMMC memory, LPDDR4 RAM, Wi-Fi, and Bluetooth, and the Edge TPU coprocessor for ML acceleration. It runs a derivative of Debian Linux(Mendel). In other words, as long a...

Local AI can make healthcare more accessible, affordable and accurate From patients to providers, local AI can help reduce healthcare costs by enabling more accurate diagnoses, preventing accidents, and improving compliance. Edge devices can also extend healthcare to underserved populations with limited medical infrastructure. Accenture predicts $150B in savings in the US healthcare economy by 2026 across a range of applications, from robot-assisted surgery and virtual nursing assistance to dosage error reduction and automated image diagnosis. PATIENT CARE Imagine patient monitoring around the clock, while maintaining privacy. At large hospitals, patients under care always outnumber doctors and nurses, making 1:1 monitoring impossible. ML-enabled cameras and sensors could allow medical staff to be alerted to events of their choosing, such as falls, lack of movement, or other kinds of behavior. Because Coral provides local AI, no sensitive data ever leaves the dev...

This tutorial shows you how to retrain an object detection model to recognize a new set of classes. You'll use a technique called transfer learning to retrain an existing model and then compile it to run on an Edge TPU device—you can use the retrained model with either the Coral Dev Board or the Coral USB Accelerator. Specifically, this tutorial shows you how to retrain a MobileNet V1 SSD model (originally trained to detect 90 objects from the COCO dataset) so that it detects two pets: Abyssinian cats and American Bulldogs (from the Oxford-IIIT Pets Dataset). But you can reuse these procedures with your own image dataset, and with a different pre-trained model. The steps below show you how to perform transfer-learning using either last-layers-only or full-model retraining. Most of the steps are the same; just keep an eye out for the different commands depending on the technique you desire. Note: These instructions do not require deep experience with TensorFlow o...

Mini PCIe Accelerator A PCIe device that enables easy integration of the Edge TPU into existing systems. Supported host OS: Debian Linux Half-size Mini PCIe form factor Supported Framework: TensorFlow Lite Works with AutoML Vision Edge https://store.gravitylink.com/global/product/miniPcIe The Coral Mini PCIe Accelerator is a PCIe module that brings the Edge TPU coprocessor to existing systems and products. The Mini PCIe Accelerator is a half-size Mini PCIe card designed to fit in any standard Mini PCIe slot. This form-factor enables easy integration into ARM and x86 platforms so you can add local ML acceleration to products such as embedded platforms, mini-PCs, and industrial gateways. https://store.gravitylink.com/global/product/miniPcIe Features Google Edge TPU ML accelerator Standard Half-Mini PCIe card Supports Debian Linux and other variants on host CPU About Edge TPU  The Edge TPU is a small ASIC designed by Google that provi...