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 functionality 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 realize low-power devices driven by Raspberry Pi. 【Features】 ■ LTE-M line usage available - Comes with a SIM for one year (2MB/month) - Additional capacity and continuation of contract after one year possible - 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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【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 a complete 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
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For more details, please refer to the PDF document or feel free to contact us.
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Our company has viewed the goal of manufacturing as "providing hardware that pursues low power consumption and miniaturization at a low price" by 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 not only achieve miniaturization, low power consumption, and low cost but also excel in high-speed processing by leveraging our know-how in hardware technology development 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 the times change.