Search Results for : RK3399

In simple terms, system-on-module (SoM) is an integrated printed circuited board with core components consisting of processor cores, communication interfaces, and memory blocks etc. Famously known as the Raspberry Pi (RPi) Compute Module (CM) is an SoM that can be interfaced on a...

Shenzhen Xunlong released its new board design Orange Pi 4 LTS, with almost the same specifications and layout as Orange Pi 4 but with minor changes. It is considered to be an optimized version of the original Orange Pi 4 integrated with readily available components while keeping the...

Recently, we covered PinePhone Pro Explorer Edition Linux-based Smartphone built around the Rockchip RK3399S highly integrated with 4GB LPDDR4 RAM and 128GB eMMC flash storage. Pine64 has captured the embedded system news due to the availability of the PinePhone Keyboard case and...

PinePhone Pro Explorer Edition was initially announced on October 15, 2021, featuring the low-power and high-performance Rockchip RK3399S system-on-chip. As we all know, Rockchip has been releasing powerful SoCs in the market for embedded electronic hardware devices, but this chip is...

Chinese robotics specialist SLAMTEC has been designing robots for various applications for the last 8 years. Moving forward, recently the company has launched, Hermes, a robot platform with a single board computer based on the Rockchip RK3399 SoC. Hermes is a high-cost robot platform...

Asus released Tinker Board 2 and 2S with some upgraded features in the last quarter of 2020. But after a while, the Asus Tinker Board 2S is available to buy on Amazon and Aliexpress. The board came to light competing with the popular Raspberry Pi 4 with a similar set of specifications...

Recent news reaching us is that Helios4 and Helios64 manufacturer, Kobol, has decided to call it quits promising to only give its support to its customers when available. The three-man company behind the popular open-spec network-attached storage (NAS) devices made this announcement...

The conventional style of using network connectivity in bringing artificial intelligence models to improve performance and efficiency needs some modification to meet the demands from the embedded systems to the automobile industry. Before directly jumping to the role of AI inference at...