This year, Qualcomm Technologies, Inc. and its solution partners met with IoT and embedded developers and the technical crowd at Embedded World 2024 in Nuremberg, Germany. Read on to learn more about the show highlights.
The event
Started in 2003, Embedded World has become the leading global event for embedded systems and IoT, with a great technical audience. The Qualcomm booth, constantly filled with curious IoT engineers, showcased AI-powered demos in automotive, industrial automation, logistics, and low-power Wi-Fi, along with development kits and edge AI boxes from our ecosystem. We were joined by thirty-five partners, all exhibiting technical demos.
Key highlights
One of the key moments of the show was unveiling additions to our portfolio of products and solutions designed to empower its customers in the embedded ecosystem. We announced new Qualcomm QCC730 Wi-Fi solution - a groundbreaking micro-power Wi-Fi system tailored for IoT connectivity.
Another announcement highlighted the new Qualcomm Robotics RB3 Gen 2 Platform - a comprehensive hardware and software solution designed for IoT and embedded applications. Utilizing the Qualcomm QCS6490 processor, the Qualcomm Robotics RB3 Gen 2 offers a combination of high-performance processing, 10x increase in on-device AI processing compared to the previous generation, support for quadruple 8MP+ camera sensors, computer vision, and integrated Wi-Fi 6E.
This platform is now available in two integrated development kits and supports downloadable software updates to simplify application development, integration, and build proof-of-concepts and prototypes.
The Qualcomm Robotics RB3 Gen 2 is also supported in the recently announced Qualcomm AI Hub, which contains a library of continuously refreshed pre-optimized AI models for superior on-device AI performance, lower memory utilization, and power-optimized operation.
Select demos
To give you a flavor of the event, here are just some of the demos, which were all crowd-pleasers:
Edge AI-Based Fleet Management
Saad Malik, CEO & co-founder at Spectro Cloud, showed how their edge AI-based fleet management system could solve a Rubik’s cube. The demo showed how a complex robotics task distributed over three nodes of a Qualcomm Robotics RB3 Platform could benefit from the platform's high availability to continue the task seamlessly, even if a node is shut off during the task. The fleet of edge AI devices (e.g., multiple camera feeds) can be managed and updated over the air in a large building or warehouse, while dynamically distributing workloads based on node availability. Applications powered by AI can run on distributed edge computing infrastructure embedded in the business’s front-line devices where data originates, instead of a data center or cloud.
EV Charging and Sensor
Georges Grey from Foundries.io showcased their FoundriesFactory™service running containers on Linux and powered by the Qualcomm QCS6490 SoC. The FoundriesFactory™ service allows an OEM to rapidly develop their software and easily deploy and maintain it for up to 15 years.
Micro Power Wi-Fi
Liem Ly, Staff Manager, Business Development at Qualcomm Technologies, Inc. demoed the new micro-power, dual-band Wi-Fi Qualcomm QCC730 on a device powered by a single PV (solar) cell. The PV cell harvested the ambient light at the event to power the QCC730, and sent data every 30 seconds to a Wi-Fi access point.
Voice-Controlled Robotics
Kishore Chakravadhanula, Director, Product Management at Qualcomm Technologies, Inc. demoed English-to-robotics language translation running on the Qualcomm Robotics RB5 platform. Using large language model inference running on the Qualcomm Robotics RB5, Kishore showcased AI enabled voice commands directing a robot to perform various actions like picking up an apple, filling up a glass of water, etc.
Additional Demos
Here are a few other great demos from the show:
- Digital Human – Interact with a "digital human", powered by a Qualcomm QCS8550 SoC. The demo used on-device AI processing to assist with hotel, enterprise, and hospital reception scenarios. Demoed by Thundercomm.
- Edge AI-Based Quality Assurance – Edge AI-based quality assurance solution for human-led tasks. The demo showcased the Qualcomm Technologies application processor’s on-chip AI and CV capabilities. Demoed by Teksun Inc.
- Robotics Fleet Management – A cloud robotic platform using Qualcomm technology to deliver a user-friendly approach to remotely monitor, manage, control, and deploy robots powered by Qualcomm Technologies. Demoed by Cogniteam.
- EV Charging and Payment – Fully integrated, ready to use Electric Vehicle Supply Equipment (EVSE) solution with payment capabilities, powered by Qualcomm Technologies application processors and connectivity chipsets. Demoed by TruNexa.
- Computer Vision Defect Detection – Detect surface defects (e.g., surface scratched, surface soiled, etc.) using Qualcomm Technologies computer vision. Demoed by Aplux.
- Generative AI Diagnostic Repair – Powered by a Qualcomm QCS8550 processor for on-device AI processing, search a library of documents to diagnose and repair equipment. Demo by Iterate.ai.
- Connected Services – Snapdragon Connected Services from Qualcomm Technologies brings the power of the cloud into the car. This allows automakers to design dynamically configurable, software-defined vehicles that offer consumers highly customized experiences with seamless connectivity and a range of new applications and services for consumer vehicles and enterprise fleets.
- Software Defined Vehicle – Snapdragon Digital Chassis Solution offers a cloud-native automotive DevOps solution. OEMs can deliver car-to-cloud infrastructure for developing automotive applications in the cloud and deployment at the edge. This facilitates agile software development for OEMs and accelerates their time-to-market to build Software-Defined Vehicle solutions.
- Digital Transformation – In this interactive experience wall, developers explored how the Qualcomm Aware Platform takes the guesswork out of creating and implementing digital transformation solutions for asset tracking, fleet management, retail operations, and utility monitoring.
In addition, the booth featured over 25 partners and 72 dev kits in the Wall of Boards, with modules, reference designs, and edge AI boxes on display. These were powered by various Qualcomm Technologies SoCs for connectivity (including LTE 9205, 9205S, 212, 216, Wi-Fi, and Bluetooth low-energy) and Qualcomm Technologies embedded computing and AI solutions, including the QCS6490, QCS5430, QCS8550 plus Powerline QCA7006AQ to highlight the breadth of solutions available from our ecosystem partners.
What else is trending for Internet of Things:
Read how CyberLink ports FaceMe to Qualcomm Hexagon NPU for facial recognition on edge devices
How Capgemini uses Qualcomm Dragonwing portoflio to enhance railway safety with Edge AI
Learn how to optimise your AI model for the Edge
Browse highlights from Embedded World 2025
Watch developer Build Along sessions:
MCP IoT Agent for Snapdragon X Elite and Rubik Pi
Using TensorFlow to accelerate models on Qualcomm IoT devices
Docker and Qualcomm Dragonwing RB3 Gen 2 x FoundriesFactory
AMA session with Qualcomm and Edge Impulse
AprilTag and Qualcomm RB3 Gen 2
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