Quectel Wireless Solutions, a global provider of IoT solutions, has announced the launch of its latest high-performance MCU-based Zigbee and BLE module, KCMA32S. With advanced connectivity features and a compact design, this innovative module has been developed to meet the growing demands of modern IoT applications.
The KCMA32S is powered by the ultra-low-power Silicon Labs EFR32MG21 wireless SoC, delivering exceptional energy efficiency. Supporting Zigbee 3.0 and BLE 5.3, the module enables multi-protocol operation, offering enhanced flexibility and more advanced communication capabilities.
Equipped with an ARM Cortex-M33 processor running at up to 80 MHz, the module is available in two memory configurations: 64 KB RAM with 768 KB Flash, or 96 KB SRAM with 1024 KB Flash, allowing developers to design flexible and high-performance solutions.
One of the key strengths of the KCMA32S is its mesh networking support for both Zigbee and BLE protocols. This capability improves network scalability and increases the number of supported nodes, making it ideal for applications requiring multi-point communication. The module is particularly well suited for smart lighting, smart building systems, and smart home solutions. In addition, the Secure Vault option provides a high level of protection, ensuring robust security for IoT deployments.
Commenting on the launch, Delbert Sun, Vice President of Wireless Products at Quectel, stated:
“With the KCMA32S module, we are enabling new possibilities for compact, high-performance IoT solutions. Its strong multi-protocol support, advanced security features, and compact form factor allow developers to build smarter and more scalable devices across applications such as smart lighting, building automation, and consumer electronics.”
Featuring ultra-compact dimensions of 20.0 mm × 12.0 mm × 2.2 mm, the KCMA32S comes in an LCC + LGA form factor, offering advantages in both size and cost efficiency for product designs. This enables seamless integration into a wide variety of IoT applications.
The KCMA32S also provides up to 20 GPIO pins, which can be multiplexed for interfaces such as I2C, UART, SPI, and I2S. With a receiver sensitivity of -104 dBm and a transmit power of up to +20 dBm, the module delivers high flexibility and robust wireless performance.
Inventronics has announced two new additions to its outdoor LED driver portfolio: the 150W IT 0-10 150/100-277 P67 and the 240W IT 0-10 240/100-277 P67 programmable drivers. With this new series, the company aims to establish a new benchmark in street and area lighting in terms of performance, efficiency, and durability.
5 kW GaN-Based AC/DC Reference Design from EPC for AI Servers and Data Centers EL SEGUNDO, California — October 2025 — Efficient Power Conversion Corporation (EPC), the world leader in enhancement-mode gallium nitride (eGaN®) power devices, has announced a high-efficiency, high-power-density 5 kW AC-to-48 V DC GaN reference design developed to meet the demands of AI servers and next-generation data center power architectures.
Sensirion has officially announced its next-generation SEN65 and SEN63C sensor platforms, designed to make indoor air quality measurement easier and more accurate than ever before. In addition, the SEK-SEN63C evaluation kit is now available for purchase, enabling developers and system integrators to quickly test and evaluate the new sensor family. Initial orders can be placed immediately.
The long-awaited beta release of Vitis AI 5.1 from AMD has been announced, marking the beginning of a major architectural shift that significantly advances edge AI inference capabilities.
With 44 years of experience, Empa Elektronik, a trusted and pioneering company in the electronic components industry, is set to make transformative investments in the technology ecosystem through its collaboration with Fark Labs, a global innovation and transformation center.
In a comparative study of Auto-ML platforms designed to simplify edge AI deployment, NanoEdge AI Studio and Edge Impulse emerged as leading solutions [1]. The comparison was conducted using multi-sensor biomedical data applied to predictive maintenance use cases.
In shopping malls, galleries, and large-scale commercial spaces, the stability and intelligence of lighting systems are among the most critical factors directly influencing user experience.
EN − TL
Türkçe
