Proving the Business Case for the Internet of Things

SensiEdge modules combine multiple sensors

Steve Rogerson
March 5, 2019

Israeli company SensiEdge has extended its range of IoT hardware-ready modules, and the company brought its latest products including Windows-based software to last week’s Embedded World in Nuremberg.
The Windows library, open-source and written in C# for easy integration into users’ applications, simplifies connecting sensor modules to a Bluetooth-capable PC or other Windows 10 device over BLE.
Also at Embedded World was the latest SensiLoRa series, which comprises device and gateway modules for rapid creation of products to leverage features of the LoRa LPWAN service such as long-range cloud connectivity and global asset tracking. SensiEdge also has a SenSigfox module for connecting to Sigfox LPWAN services.
“I worked for Arrow for eight years,” said Milan Yudkovich (pictured), founder and managing director of SensiEdge. “I saw many IoT companies that were mostly software guys. Our modules have a range of sensors and all that is missing in your integration.”
In addition, the complete SensiBLE and SensiSub range were on show, including the latest SensiBLE 2.0 IoT sensing system on module (SoM) that features an Arm Cortex-M0 microcontroller, 17 by 40mm form factor and rechargeable battery.
The SensiSub modules leverage sub-1GHz radio in unlicensed bands to connect wirelessly over distances of up to 600m. Developers can choose from the multi-sensor SensiSub 1.0 module and the latest SensiSub 1.0 gateway that simplifies access to analytics applications from cloud providers.
“You can with a touch connect to cloud services such as IBM, Azure and Amazon,” said Yudkovich. “We can provide everything and accelerate time to market.”
The company was on the Arrow stand at the show and Yudkovich said that Arrow had requested a module that also worked with NB-IoT.
“So we have one,” he said.
Sensors in the modules include devices for temperature, pressure, light, humidity, movement and proximity sensing. Activity recognition for use in wearables detects whether the user is standing, running or cycling. It can measure steps, free fall, taps and double taps.
“There are many applications you can do with all these sensors,” he said.