iot module

  Introduction As Bluetooth Low Energy (BLE) spreads across wearables, smart homes, and industrial sensing, TI's CC2640 has become a core choice for many Bluetooth modules. Within EBYTE's E72-2G4M series, the E72-2G4M02S2B and E72-2G4M05S1B are two BLE 5.1 low-energy modules based on the CC2640, representing two distinct positions in the BLE product line. The Chip Core: What Is the CC2640? The CC2640 is an ultra-low-power wireless MCU from TI's SimpleLink™ series with a dual-core architecture: an ARM Cortex-M3 main core handles application processing while a Cortex-M0 RF core manages wireless control. This division of labor keeps power low while delivering solid compute capability. Supporting the BLE 5.1 protocol, it is an ideal core for Bluetooth IoT devices. Product Comparison Feature E72-2G4M02S2B E72-2G4M05S1B Core Chip CC2640 CC2640 Protocol BLE 5.1 BLE 5.1 Key Strengths Ultra-low power, multi-role functionality High-precision crystal, dual-core proces...

Introduction In the early evolution of IoT communication, ZigBee and 6LoWPAN were regarded as the two mainstream routes for low-power self-organizing networks. One of the core chips supporting both routes is the Texas Instruments CC2630—a SoC integrating an ARM Cortex-M3 processor with a dedicated RF core. Chengdu EBYTE Electronic Technology Co., Ltd. built the E72-2G4M02S2A around this chip, making it a classic wireless module for smart home and industrial sensing applications. The Chip Core: What Is the CC2630? The CC2630 is a 2.4 GHz wireless microcontroller from TI's SimpleLink™ series, featuring a built-in 32-bit ARM Cortex-M3 processor and designed specifically for ZigBee and 6LoWPAN protocols. It supports the IEEE 802.15.4 standard, offering low power consumption, high sensitivity, and strong networking capability. Because it is itself a SoC, the module requires user firmware development before use—which defines the positioning of the E72-2G4M02S2A: a hardware platform a...

  The Forum That Connected AI and Connectivity At CEIC2026 in Shenzhen, the Global Intelligent IoT Alliance (GIIC) hosted the AI-era eSIM innovation forum under the theme 'AI-native connectivity defines AI terminals.' Industry leaders - from carriers to chip and terminal makers - agreed on one point: in the AI era, connectivity is no longer just 'getting online'; terminals need native intelligence and native security built into their connection. The forum also released the white paper on personalizing eUICC in wafer-level chip-scale packaging (WLCSP), filling a standards gap for the trusted-identity foundation of AI terminals. SGP.32 in 60 Seconds SGP.32 is the GSMA's remote-provisioning standard purpose-built for IoT. Unlike consumer eSIM flows, it is designed for headless devices: an IoT device can discover a Local Profile Assistant (LPA), download and switch carrier profiles over the air, and be managed remotely at fleet scale. SGP.32 eSIM is already reaching ...

  The Summit That Marked a Turning Point The CEIC2026 consumer electronics innovation conference and the International NearLink Alliance summit in Shenzhen (October 22) concentrated the latest roadmap and commercial results of NearLink technology - and the market context is striking: Quectel, a leading IoT module maker, reported Q3 revenue of 23.8 billion yuan (+33%) with net profit up 65% year over year, driven by automotive and edge-AI connectivity demand. NearLink is accelerating into smart terminals, smart vehicles, smart homes, industrial interconnection and embodied intelligence - and for device designers, the window to gain NearLink experience is now. NearLink in 60 Seconds NearLink (SparkLink) is a short-range wireless standard engineered for scenarios where classic Bluetooth and Wi-Fi compromise: sub-millisecond-class latency, high reliability under interference, native precise ranging, and a dual-mode architecture - SLE for ultra-low-power connections (peripherals, sen...

  150 Million Devices - LoRaWAN Becomes the Fourth Pillar At The Things Conference 2026 in Amsterdam, the LoRa Alliance announced that LoRaWAN -connected devices have reached 150 million globally, growing at a 25% CAGR. The Alliance now positions LoRaWAN as the fourth pillar of wireless connectivity alongside cellular, Wi-Fi and Bluetooth - connecting utility infrastructure, industrial sensors, agriculture, smart padlocks, tracked pallets, bikes, panic buttons and staff safety badges. For engineers planning an LPWAN project, the question is no longer whether LoRaWAN is viable - 150 million devices have answered that - but how to assemble a network efficiently. Here is a practical blueprint using EBYTE's module ecosystem. The Three Building Blocks of a LoRaWAN Network Every LoRaWAN network has three parts: end-node modules that sense and transmit, gateway RF modules that concentrate uplinks, and a network server that deduplicates and routes traffic. The first two are where module...

In most people's minds, LoRa is synonymous with "low speed, low power, long range" — everyday rates of just 0.3–50 kbps; an ESP32-class microcontroller has only a few hundred KB of SRAM. Video and large language models, on the other hand, are notorious bandwidth and compute hogs. The two seem to live in entirely different worlds — completely incompatible. Yet in recent years, developers and research teams have relied on architectural ingenuity to bypass physical hardware limits: running AI vision over low-bandwidth wireless links, and getting large language models to run on microcontrollers costing just a few dollars. The core secret was never throwing more hardware at the problem — it was thinking clearly about three questions: what should be transmitted, where should the computation happen, and how should tasks be split? 1. "Sending Video" over LoRa: What Gets Transmitted Isn't the Picture — It's the AI's Understanding A single QVGA grayscale ...