Seeed’s new development, the reTerminal, is a multi-function device operated by the Raspberry Pi’s latest Compute Module 4 system-on-module (SOM). It includes four Arm Cortex-A72 processing cores operating at 1.5GHz, a Broadcom VideoCore-VI graphics processor with hardware encode and decode, and an option of 1GB, 2GB, 4GB, or 8GB LPDDR4 memory and up to 32GB of eMMC ram. It has a 5″ capacitive touch monitor, cryptographic authentication hardware, accelerometer, a real-time clock, light and proximity sensor, passive cooling, a high-speed expansion socket, and more.
This IoT and cloud-ready Human-Machine Interface (HMI) device will interact with IoT and cloud systems to enable limitless scenarios at the edge. For increased expandability, reTerminal has a high-speed expansion interface and rich I/O. reTerminal has a Gigabit Ethernet port and dual USB 2.0 Type-A ports for faster network connections. The reTerminal’s 40-pin Raspberry Pi compliant header allows it to be used in various IoT applications.
Its different applications are
- Embedded Linux Terminal Device
- Smart Factory
- Smart Warehouse
- Smart Home
- Machine Learning and Edge AI Applications
- IoT Controller
- Hand-Held Device
It has enough RAM (4GB) to multitask and enough eMMC capacity (32GB) to load an operating system, allowing for quick boot-up times and a smooth overall experience. It has dual-band 2.4GHz/5GHz Wi-Fi and Bluetooth 5.0 BLE for wireless networking. It also includes a custom carrier board that connects the Compute Module 4 to a 5″ 1280×720 capacitive touch display panel, as well as a single micro-HDMI with 4Kp60 support, a two-lane CSI camera interface, and the standard Raspberry Pi GPIO.
The reTerminal is notable because it has exceptional features that aren’t usually found on a Raspberry Pi: A Levelek LS9800 optical light sensor with proximity detection, a Microchip MCP23008-E GPIO expander, Power over Ethernet (PoE) support, and a “Vertical Expansion Interface” at the back of the chassis that gathers one PCIe Generation.
The casing functions as a heatsink, with a fin array at the back, dissipating heat from the SOM’s system-on-chip and four user-definable buttons at the front. Several add-on devices have also been released, starting with a microphone array and a camera extension, all of which are intended to help the device perform edge AI and other machine learning tasks. Additional network networking add-ons have been confirmed, including 4G LTE and 5G NR cellular, LoRa, and sub-GHz. This lightweight all-in-one provides a wealth of features designed for edge AI and Internet of Things workloads.