Inspiring the Evolution of Embedded Design

May 20, 2025


Goodbye Silos, Hello Swarms

STMicroelectronics Combines Activity Tracking and High-Impact Sensing in Miniature AI-Enabled Sensor for Personal Electronics and IoT

The LSM6DSV320X extends the family of sensors that contain ST’s machine-learning core (MLC), the embedded AI processor that handles inference directly in the sensor to lower system power consumption and enhance application performance. It features two accelerometers, designed for coexistence and optimal performance using advanced techniques unique to ST. One of these accelerometers is optimized for best resolution in activity tracking, with maximum range of ±16g, while the other can measure up to ±320g to quantify severe shocks such as collisions or high-impact events.

Rugged Fanless Panel PC for Industrial Edge Applications

The IPPC-121 features a 12.1-inch projected capacitive touchscreen with 1024x768 resolution and 500 cd/m² brightness, enclosed in a rugged chassis with IP65-rated front panel. The design supports both 6mm T-slot and V-slot linear rail, allowing flexible mechanical integration. All configurations are completely fanless and support operating temperature ranges from -20°C to 45°C (N355/N305/N97), and up to 60°C for the X7835RE variant.

Saelig Introduces Tablet-Based SPECTRAN® V6 Real-Time Analyzers

The analyzers come with the powerful ‘RTSA-Suite PRO’ software pre-installed on an internal SSD with Windows 11 Pro or Linux. With a generous 2 TB (max. 16 TB) of internal data storage, these analyzers can store large amounts of data very efficiently for extensive analyses. The kit includes two OmniLOG 30800 omnidirectional SMA antennas, a power supply unit and other accessories that provide optimum support for professional use in operating temperatures from -40degC to +60degC. It offers a receive input (Rx) with a frequency range of 9 kHz to 7.2 GHz (max), a real-time bandwidth (RTBW) of 44 MHz and a sweep speed of an impressive max. 3 THz/s.

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Editor's Desk by Kirsten Campbell



Swarm IoT Is Wildly Cool

Forget single smart devices. They should cooperateadapt, and move as a team. Swarm IoT transforms disconnected smart things into autonomous collectives that work together like a hive of bees or a flock of birds. It’s not science fiction—it’s edge computing, AI, distributed systems, and nature-inspired design coming together to create something profoundly more dynamic.


At the core of Swarm IoT is self-organization. These systems don’t need a central controller. Instead, each device senses its environment, communicates with its neighbors, and contributes to a collective goal. Take a group of drones scanning a disaster zone, for instance. They can independently coordinate, divide the terrain, reroute if one fails, and even regroup when conditions shift. This isn’t automation in isolation—it’s collaborative autonomy.


Adapt or Else

One of the most exciting aspects of Swarm IoT is dynamic reconfiguration. These devices don’t just follow scripts—they adapt. If some nodes fail, the swarm reorganizes. If obstacles appear, it reroutes. This makes Swarm IoT ideal for harsh, unpredictable environments: think underground mines, wildfire zones, or even deep space. The system essentially rebuilds itself in real time to continue operating—like digital Lego that rearranges itself midair.

Scalability is where Swarm IoT really starts to feel like magic. Traditional IoT systems bog down as you add more devices. Swarm systems, on the other hand, get smarter as they grow. Add 1,000 more microrobots or sensors, and the system adapts without a central choke point. Thousands of passive nodes in a smart city can form a mesh network that reroutes traffic, monitors infrastructure, and responds to emergencies—all without waiting for cloud commands.


Decisions at the Edge

Decision-making doesn’t live in the cloud anymore, either. With edge AI and bio-inspired algorithms, Swarm IoT devices can analyze, decide, and act on the spot. They can recognize patterns (using TinyML), optimize routes (with ant colony logic), and distribute tasks through consensus—no round-trip to a server required. This is critical in environments where milliseconds matter or when connectivity is unreliable or nonexistent.


Swarms of drones can reconfigure into real-time sensor networks for defense, disaster response, or environmental monitoring. In agriculture, ground bots and aerial drones can coordinate watering and fertilization with hyper-local precision. In space, miniaturized satellites can form adaptive constellations.


What makes this all possible now is the convergence of several maturing technologies. Edge AI and TinyML allow intelligent behavior at ultra-low power. Mesh networking standards like BLE Mesh, Zigbee, and UWB support fast, local communication. Energy harvesting techniques make long-life, even perpetual operation viable. And biologically inspired algorithms—like flocking, foraging, and stigmergy—give us powerful models for coordination without command hierarchies.


A Living System

Swarm IoT feels alive. It's a shift from systems that respond to systems that behave, that make decisions collectively, and that evolve based on the environment. It’s not just a new generation of devices—it’s a new generation of intelligence. If traditional IoT is the nervous system of a smart world, Swarm IoT is its instinct.


This is where things get truly interesting. Engineers, designers, and technologists now have a playground where intelligence doesn’t live in a device—but in the network of devices. Let’s not just build smarter machines—let’s build ones that are smart together.


What do you think? Are we going to see more Swarm IoT in everyday life?


**Update about my shredder that no one asked for**

Those who read the April 29th editorial, "Shreds of Dignity" will be happy to know that my broken shredder has been resurrected with a little engineering TLC. Lazarus is fully restored and now hums happily in a new, loving home. Thanks to those who wrote in to share their own shredder struggles. In this case, misery does love company! :)


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