gps

Posted on by Debashis Das - 10 Comments on LILYGO T-Beam 1W – An ESP32-S3 + SX1262 high-power LoRa dev board with 32 dBm output, GNSS support

LILYGO T-Beam 1W – An ESP32-S3 + SX1262 high-power LoRa dev board with 32 dBm output, GNSS support

LILYGO T Beam 1W

The LILYGO T-Beam-1W is an ESP32-S3-based high-power LoRa development board featuring an SX1262 RF transceiver, an onboard 1W power amplifier (32 dBm), a L76K GNSS module, a 1.3-inch SH1106 OLED, a microSD slot, USB-C, Qwiic connectors, and an AXP2101 PMU. The board runs on a 7.4V battery and includes a cooling fan for high-power RF operation. We first wrote about the original LILYGO T-Beam (then branded as TTGO) in 2018, and since then, the company introduced various revisions of the T-Beam as it became popular. The T-Beam 1W is the most powerful version so far, with a built-in 1 Watt amplifier that allows the board to transmit data over longer distances without needing to buy separate, bulky amplifiers. LilyGO T-Beam-1W Specifications: Core module – Espressif Systems ESP32-S3-WROOM-1 SoC – ESP32-S3 CPU – Dual-core LX7 processor with up to 240MHz Memory – 512KB SRAM, 8MB PSRAM Storage – 384KB ROM Wireless – […]

Posted on by Debashis Das - No Comments on LoRa, BLE, and GNSS tracker supports open-source software, solar charging, outdoor and indoor tracking

LoRa, BLE, and GNSS tracker supports open-source software, solar charging, outdoor and indoor tracking

Ruictec's TD04 Asset Tracker

Designed by Ruictec in China, the TD04 is a LoRa-based low-power tracker that also features BLE and dual-band GNSS. It supports both indoor and outdoor positioning, and is suitable for fleet management, asset tracking, and geofencing over public or private LoRaWAN networks with minimal maintenance. The device combines GNSS (L1/L5) for outdoor positioning with BLE-based indoor tracking. It automatically switches between the two to optimize accuracy and power usage, delivering around 1–2 m accuracy outdoors and 2–4 m indoors. It is LoRaWAN 1.0.3-compliant, supports OTAA and ABP, and operates across multiple regional bands (EU868, US915, IN865, AS923, and others). Other features include a built-in motion sensor (G-sensor), configurable reporting and heartbeat intervals, iBeacon support, optional Bluetooth gateway mode, BLE-based configuration, OTA updates, and batch firmware upgrades. The device is powered by a 6000 mAh rechargeable battery and support 1.3 W solar panel input, enabling up to six months of standby […]

Posted on by Debashis Das - No Comments on LILYGO T-Echo Plus off-grid LoRa communicator features a climbing hook for hiking, cycling, and remote communication

LILYGO T-Echo Plus off-grid LoRa communicator features a climbing hook for hiking, cycling, and remote communication

LILYGO T Echo Plus

The LILYGO T-Echo Plus is another off-grid LoRa communicator, similar to Blackout Comms, ThinkNode M2, and Wio Tracker L1 Pro, but it features a metal attachment loop (designed like a climbing hook) for use in hiking, cycling, and off-grid environments. Built around a Nordic Semi nRF52840 MCU, it supports Bluetooth 5, Thread, Zigbee, and 802.15.4. It also adds an SX1262 LoRa transceiver, a 1.54-inch 200×200 SPI E-Paper display, and an L76K GNSS module. Other features include a 6-axis IMU (BHI260AP), a vibration motor, a buzzer, and a larger 2400mAh battery, along with a 1/4-inch mount and a “climbing finger loop” for gear attachment. Additional features include an optional BME280 sensor, Grove expansion, all in a rugged and compact enclosure with a long external antenna for extended LoRa range. LILYGO T-Echo Plus Specifications: SoC – Nordic Semiconductor nRF52840 CPU – 32-bit Arm Cortex-M4F microcontroller @ 64 MHz Memory/Storage – 2 MB Flash, […]

Posted on by Debashis Das - 3 Comments on Low-cost LG290P quad-band GNSS RTK breakout board supports RTC battery for faster TTFF

Low-cost LG290P quad-band GNSS RTK breakout board supports RTC battery for faster TTFF

Waveshare LG290P low cost quad band GNSS RTK module

Waveshare has launched a low-cost LG290P breakout board priced at about half the competing options. It supports L1/L2/L5/E6 quad-band GNSS with centimeter-level RTK positioning for robotics, surveying, precision agriculture, and other high-accuracy applications. The board supports GPS, BDS, Galileo, GLONASS, QZSS, and NavIC reception, along with SBAS systems such as WAAS, EGNOS, MSAS, BDSBAS, GAGAN, and SDCM. It offers RTK rover/base functionality with <5-second convergence, raw observation output, 10–20 Hz navigation rates, and strong anti-interference performance thanks to its integrated narrow-band jamming detection and cancellation. The module features a USB-C port for power and UART-to-USB communication, castellated pads for easy integration, an RTC battery connector for faster TTFF, and onboard status LEDs. Waveshare LG290P breakout board specifications: GNSS module – Quectel LG290P GNSS Frequency bands GPS – L1 C/A, L1C, L5, L2C GLONASS – L1, L2 Galileo – E1, E5a, E5b, E6 BDS – B1I, B1C, B2a, B2b, B2I, B3I QZSS […]

Posted on by Debashis Das - No Comments on Quectel QSM560DR industrial Qualcomm QCM6490/QCS6490 SBC supports Ubuntu, Android, and Windows

Quectel QSM560DR industrial Qualcomm QCM6490/QCS6490 SBC supports Ubuntu, Android, and Windows

Quectel QSM560DR Development Board

The Quectel QSM560DR is a Qualcomm QCM6490/QCS6490-based industrial Edge AI SBC with an octa-core processor, a 12 TOPS NPU, up to 8GB LPDDR4X RAM, and UFS storage. It offers 5G, WiFi 6E, Bluetooth 5.2, and GNSS, plus dual Gigabit Ethernet, four USB 3.0 ports, and HDMI and eDP display outputs. The board also includes three MIPI CSI camera connectors, a microSD card slot, GPIOs, RS232/RS485, CAN bus, audio output, and an M.2 connector for expansion. These features make it suitable for robotics, smart retail systems, industrial control panels, and other high-performance edge AI systems. Quectel QSM560DR specifications: SoC – Qualcomm QCS6490(WF variant) / QCM6490 (CN variant) CPU – Octa-core Kryo 670 with 1x Gold Plus core (Cortex-A78) @ 2.7 GHz, 3x Gold cores (Cortex-A78) @ 2.4 GHz, 4x Silver cores (Cortex-A55) @ up to 1.9 GHz GPU – Adreno 643L GPU @ 812 MHz with support for Open GL ES […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on WisMesh Tag – A thin, IP66-rated Meshtastic GPS tracker for outdoor use

WisMesh Tag – A thin, IP66-rated Meshtastic GPS tracker for outdoor use

WisMesh Tag Meshtastic GPS Tracker

RAKwireless WisMesh Tag is a thin and rugged Meshtastic GPS LoRa tracker designed for off-grid location tracking and messaging. The 7.5mm thick device is pre-flashed with Meshtastic, dust and waterproof (IP66-rated), and powered by a 1,000mAh battery. Internally, it is built around a Nordic Semi nRF52840 wireless SoC and a Semtech SX1262 LoRa transceiver. Contrary to most DIY trackers, the device is fully certified (FCC and CE), so users across Europe and North America can deploy it for personal or professional use. WisMesh Tag specifications: SoC –  Nordic Semiconductor nRF52840 CPU – 32-bit Arm Cortex-M4F microcontroller @ 64 MHz Memory – 256 KB RAM Storage – 1 MB flash Wireless – Bluetooth 5, Thread, ANT, Bluetooth Mesh, 802.15.4 (Zigbee), 2.4 GHz proprietary LoRa – Semtech SX1262 RF transceiver GNSS – AT6558R GNSS module Misc Built-in LoRa, BLE, and GPS antennas Reset/Bootloader button User Button for alarms, alerts, or future customization […]

Posted on by Debashis Das - No Comments on Firefly EC-AGXOrin – Jetson AGX Orin 64GB AI inference system supports up to 8 GMSL2 cameras

Firefly EC-AGXOrin – Jetson AGX Orin 64GB AI inference system supports up to 8 GMSL2 cameras

EC AGXOrin NVIDIA Jetson 275 TOPS Edge AI Computer

Firefly EC-AGXOrin is an NVIDIA Jetson AGX Orin 64GB-powered AI inference system, similar to the AAEON BOXER-8645AI and Vecow RAC-1000 rugged Edge AI systems, and designed for edge AI applications such as in-vehicle computing, robotic control, machine vision, intelligent video analytics, and mobile robots. The device features eight GMSL2 connectors (input via two 4-pin Mini FAKRA interfaces) and supports up to 22-channel 1080p or 8K, 30fps H.265 video decoding. It delivers 275 TOPS of AI performance through the NVIDIA module, and integrates 64GB LPDDR5 RAM, 64GB eMMC storage, and offers M.2 NVMe and MicroSD card storage options. Other ports include a 10GbE RJ45 jack, five GbE jacks, USB 3.0, HDMI 2.0, RS232, RS485, CAN, and the system also supports WiFi 6, Bluetooth 5.2, 4G/5G cellular connectivity, and GPS/GNSS. Firefly EC-AGXOrin specifications: SoM – Jetson AGX Orin module with CPU – 12-core Arm Cortex-A78AE v8.2 64-bit processor with 3MB L2 + […]

Posted on by Debashis Das - 2 Comments on u-blox MAX-M10N GNSS module supports Low Energy Accurate Positioning (LEAP) mode, firmware upgrades

u-blox MAX-M10N GNSS module supports Low Energy Accurate Positioning (LEAP) mode, firmware upgrades

u blox UBX M10150 KB chip and the MAX M10N module

Following the launch of the UBX-M10150-CC low-power GNSS module, u-blox has expanded its lineup with the MAX-M10N, another ultra-low-power module based on the UBX-M10150-KB GNSS chip. The new module supports firmware upgradeability and offers up to 50% lower power consumption thanks to features such as Low Energy Accurate Positioning (LEAP) and PSMCT cyclic tracking modes. The latest SPG 5.30 firmware also adds support for RTCM correction input for sub-meter positioning accuracy, along with improved spoofing and jamming detection. It also includes data logging and geo-fencing for autonomous tracking and uses AssistNow Predictive and Live Orbits for faster satellite acquisition. The MAX-M10N integrates an LNA and dual SAW filters for better RF sensitivity and interference protection, while maintaining pin compatibility with earlier MAX modules. These features make it suitable for low-power, high-accuracy applications such as wearables, asset tracking, and battery-powered IoT devices. u-blox MAX-M10N GNSS module specifications: Receiver type – u-blox M10 […]

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