Sfera Labs has launched its latest multi-sensor module. The Exo Sense Pi uses Raspberry Pi 4 computing capabilities. This compact wall-mount unit provides a 64-bit quad-core ARM Cortex-A72 processor running at up to 1.5GHz, which it claims is far beyond what other sensor modules on the market can deliver.
Offered in four different versions, the new module has up to 8GB of RAM and 32GB of eMMC flash memory reserves. As well as this, it has a broad array of different connectivity options. As well as the Wi-Fi (IEEE 802.11b/g/n/ac), Bluetooth 5.0 and BLE wireless interfaces, an RS-485 serial bus and dedicated I/O lines are included. These facilitate data transfer across standard protocols (like Modbus, I2C, 1-Wire, Wiegand, etc.) and facilitate system integration. There is a micro USB port for flashing the Raspberry Pi eMMC and a microSD card slot for linking an external flash memory.
The sensor technology contained within this module covers temperature, humidity, air quality and light intensity measurement, plus PIR-based motion detection. A microphone is also included for audio processing and voice control purposes. There is scope for other custom sensors to be added as needed, such as CO2 monitoring, seismic monitoring and vibration measurement.
Fully CE and FCC compliant, the module is ideal for both residential and commercial implementation. Amongst the many applications that it can be employed in are home/building automation, environmental monitoring, people counting, room management, BLE positioning, asset tracking, alarm reporting and access control. Other key functionality combined into the module includes a Microchip ATECC608A secure element chip, a GPIO-controlled LED indicator, a piezoelectric buzzer and an RTC with a replaceable backup battery. Internal temperature sensors allow heat compensation to be undertaken. Running off a standard 9V to 28V DC supply, with surge and reverse polarity protection mechanisms also built-in, the device has an 80mm x 80mm form factor which makes installation in even the most space-restricted locations possible.