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Posted on by Debashis Das - 7 Comments on AAEON RTC-1010RK – An RK3399 powered rugged Android 11 tablet with hot-swap battery and IP65 rating

AAEON RTC-1010RK – An RK3399 powered rugged Android 11 tablet with hot-swap battery and IP65 rating

AAEON RTC 1010RK Rockchip RK3399 Powred Rugged Mobile Tablet

AAEON’s RTC-1010RK is a 10.1-inch (1280 x 800) rugged tablet powered by a Rockchip RK3399 processor and can be equipped with up to 4GB LPDDR4 memory and 128GB eMMC flash. It offers robust connectivity with Wi-Fi, Bluetooth, and optional 4G LTE and Ethernet. It also supports GPS + GLONASS (Default), and BeiDou (Optional) for navigation. The RTC-1010RK is an IP65-rated tablet with protection against dust and water splashes. Additionally, it has programmable function keys, NFC/smart card readers, front (8MP) and rear (8MP) cameras, and the option to add a barcode scanner. The hot-swappable battery in the tablet ensures uninterrupted power, making it ideal for demanding field and industrial applications. It’s not the first rugged tablet from AAEON, as previously, we have written about the AAEON RTC-710AP 7-inch rugged tablet and the AAEON RTC-1010M Windows 10-based semi-rugged tablet. We also reviewed the Higole F7G Plus rugged tablet. Feel free to check […]

Posted on by Debashis Das - 2 Comments on Waveshare Jetson Nano powered mini-computer features a sturdy metal case

Waveshare Jetson Nano powered mini-computer features a sturdy metal case

Waveshare Launches Jetson Nano Mini Computer

Waveshare has launched the Jetson Nano Mini Kit A, a mini-computer kit powered by Jetson Nano. This kit features the Jetson Nano Module, a cooling fan, and a WiFi module, all inside a sturdy metal case. The mini-computer is built around Nvidia’s Jetson platform housing the Jetson Nano module and features multiple interfaces, including USB connectors, an Ethernet port, an HDMI port, CSI, GPIO, I2C, and RS485 interfaces. It also has an onboard M.2 B KEY slot for installing either a WiFi or 4G module and is compatible with TensorFlow, and PyTorch which makes it well-suited for various AI applications. Waveshare Mini-Computer Specification: GPU – NVIDIA Maxwell  architecture with 128 NVIDIA CUDA cores CPU – Quad-core ARM Cortex-A57 processor @ 1.43 GHz Memory – 4 GB 64-bit LPDDR4 1600 MHz; 25.6 GB/s bandwidth Storage – 16 GB eMMC 5.1 Flash Storage, microSD Card Slot Display Output – HDMI interface with […]