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Simple Work Brainstorm Data Curve Illustration Pill Case Pocket Medicine Storage Box Container Dispenser

Size: Pillcase : 7.0cm (2.7inch) diameter x 1.2cm(0.5 inch) height.
Classification: Pillcase, Pocket, Dispenser.
Feature: -Lightweight and portable: perfect size for purse, pocket, and travel taking.
-3 main compartments to organize the pill taking.
-BAP-free: no harm elements to human body health.
-A great gift for your friends or family members who have chronically ill and give them a considerate caring on taking medicine.

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Please refer to the Size Chart in the Product Description below or the 5th Image before ordering.

Size: 40 x 40cm /16 inch x 16 inch ( There are some measurement error ).
Feature: Wide applications, perfect for sofa, chair, bed, travel and naps. decoration and everyday use as it will create a warm and holiday mood wherever they are placed..
Material: Made from high-quality Simplex knit fabric, each side is full color printing with the same image. these 100% polyester pillows are soft and wrinkle-free..
Machine washable , Synthetic-filled insert included..

Smart AI: Tripwire, intrusion, fast moving (the three functions support the classification and accurate detection of vehicle and human), abandoned....
Built-in IR LED :40m(131.2 ft)(IR LED) illumination distance.
Low illuminance, high image definition:4MP, 1/1.8" CMOS image sensor,Min. Illumination 0.003Lux at F1.8 ..
Outputs max. 4MP (2688 × 1520) @30 fps, 2MP(1920 × 1080) @60 fps . ROI, SMART H.264+/H.265+, flexible coding, applicable to various bandwidth and....

As 'Casual Style', it is nice whether it is loose on you or it fits you well. So it can work for several sizes..
Please refer to the Size Chart in the Product Description below or the 5th Image before ordering.

The NVIDIA Jetson Nano Developer Kit delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost. Developers, learners, and makers can now run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing..
The developer kit can be powered by micro-USB and comes with extensive I/Os, ranging from GPIO to CSI. This makes it simple for developers to connect a diverse set of new sensors to enable a variety of AI applications. And it is incredibly power-efficient, consuming as little as 5 watts..
Jetson Nano is also supported by NVIDIA JetPack, which includes a board support package (BSP), Linux OS, NVIDIA CUDA, cuDNN, and TensorRT software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. The software is even available using an easy-to-flash SD card image, making it fast and easy to get started..
The same JetPack SDK is used across the entire NVIDIA Jetson family of products and is fully compatible with NVIDIA’s world-leading AI platform for training and deploying AI software. This proven software stack reduces complexity and overall effort for developers..

A USB accessory that brings machine learning inferencing to existing systems. Works with Raspberry Pi and other Linux systems.
Performs high-speed ML inferencing: the on-board edge TPU Coprocessor is capable of performing 4 trillion operations (tera-operations) per second (tops), using 0.5 watts for each tops (2 tops per watt). For example, it can execute state-of-the-art mobile vision models such as mobilenet V2 AT 400 FPS, in a power efficient manner.
Works with Debian Linux: connects to any debian-based Linux system with an included USB 3.0 Type-C cable.
Supports tensorflow Lite: no need to build models from the ground up. Tensorflow Lite models can be compiled to run on the edge TPE.
Supports automl vision edge: easily build and deploy fast, high-accuracy custom image classification models to your device with automl vision edge.
Ml Accelerator: Google edge TPU Coprocessor.
Dimensions: 65 millimeter x 30 millimeter.

Accurately measure your weight, body fat percentage, visceral fat classification, skeletal muscle percentage classification, resting metabolism and BMI calculation.
8-Sensor technology using both hands and feet for an entire body measurement.
Family model with measurement from six years onwards (with exception of visceral fat and skeletal muscle classification: 18-80 years).
Weight can be measured in pounds or kilograms (up to a weight of 150 kg / 330 lbs).
Items delivered: 1 x OMRON BF511 (Blue) 8 Sensor Body Composition Monitor, 4x AA batteries, guarantee card and instruction manual.

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