You can send sensor information to the internet from anywhere using a Raspberry Pi, allowing for experiments without the need to set up a server.
"IoT-Pi for LTE-M" is a product that allows easy connection of Raspberry Pi to carrier-based LPWA (KDDI's LTE-M communication) and enables simple IoT experiments by combining it with commercially available sensors equipped with GROVE interfaces. Additionally, it is compatible with Google Sheets, eliminating the need for a server. It also has the capability to complete the power-on operation of the Raspberry Pi, allowing it to be powered by a mobile battery. Furthermore, by utilizing the features of LTE-M such as PSM and eDRX, it is possible to operate devices with low power consumption using Raspberry Pi. 【Features】 ■ Capable of using LTE-M lines - Comes with a SIM for one year (2MB/month) - Additional capacity and renewal contracts available after one year - Use of SIMs other than the included one is limited to KDDI LPWA SIMs - Compatible with Node-RED - Compatible with Google Sheets *For more details, please refer to the PDF document or feel free to contact us.
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basic information
【Other Features】 ■ GPS positioning and time acquisition are possible ■ Peripheral devices can be connected via GROVE, GPIO, I2C, and UART ■ An external mobile battery can be added for more convenient outdoor use ■ The Raspberry Pi can operate with its own power supply ■ It is possible to extend the battery life of the mobile battery ■ The status of the number of antennas and other conditions can be checked from the LED and terminals *For more details, please refer to the PDF document or feel free to contact us.
Price range
P2
Delivery Time
P3
Applications/Examples of results
For more details, please refer to the PDF document or feel free to contact us.
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Company information
Our company has regarded the goal of manufacturing as "providing hardware that pursues low power consumption and miniaturization at a low price," utilizing various technologies such as sensing and wireless communication. We have been involved in development, manufacturing, and sales. Looking ahead to a future where AI technology is widely used, we have focused on facial recognition technology and have been advancing the development of products that achieve high-speed processing, in addition to being compact, energy-efficient, and low-cost, by leveraging our know-how in hardware technology to perform facial recognition at the edge. In the future, we will also engage in development in new areas, such as the integration of LPWA and AI edge computing camera systems. WDS will continue to provide systems that are needed by everyone as times change.