Overview
Solder sucker pump made of aluminum and ABS. Length 194 mm, diameter 20 mm.
Teflon tip.
Get Inspired
It’s time to catch up on all things LoRaWAN® and low-power IoT! Our team is looking forward to returning to The Things Conference this year, joining all LoRa® key players in Amsterdam on September 21st-22nd. Our experts will be showcasing new products and applications relevant to the technology that is putting the “smart” in smart cities, smart agriculture, smart logistics, and more. Indeed, with IoT’s huge growth potential in both B2B and B2C applications, LoRaWAN® is stepping up as one of the technologies of the future. Already established as the low-power connectivity choice, according to The Things Network it is reaping the benefits of innovations that increase efficiency even further – and is poised to support ESG (environmental, social and governance) goals with reduced energy consumption and secure data transmission. LoRaWAN® novice, or expert? We’ve got you covered Whether you are just realizing the potential of LoRaWAN® or have been a fan of it since day one (like us!), we’ll have something for you to discover at our booth at The Things Conference: Looking for an entry-level option? The Arduino MKR WAN 1310 offers you the renowned versatility of the practical and cost-effective MKR family and adds LoRa® connectivity to projects requiring low power.Ready to take it up a notch? The solution for advanced applications requiring sturdy computational power is to boost Arduino Pro’s Portenta H7 module (in any of its three variants) with the capability to run embedded computer vision applications, connect wirelessly via LoRa® to the Arduino Cloud (or third-party infrastructure), and activate systems upon the detection of sound events. How? With the Portenta Vision Shield LoRa®, of course!Feel the need for high performance? Pair the Portenta Max Carrier with a Portenta X8 module to add LoRa® connectivity to your project, transforming your robust SOM into a single-board computer or reference design enabling edge AI for
