AI-powered edge computing with Qualcomm RB3

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In this newsletter, we're excited to highlight the launch of Qualcomm's RB3 Gen 2 Developer Kit, bringing AI edge computing to developers. With two powerful versions, these kits are set to drive innovation across industries like robotics, AI vision, and smart security. Read on to learn more!

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Qualcomm RB3 Gen 2 Developer Kit unlocks AI computing for IoT edge innovation

In a move set to transform the Internet of Things (IoT) landscape, Qualcomm Technologies, Inc. has introduced its Qualcomm RB3 Gen 2 developer kits. These kits are designed to put advanced AI edge computing power into the hands of developers everywhere. The kits are available in two versions: the Qualcomm RB3 Gen 2, based on the Qualcomm QCS6490 processor, and the Qualcomm RB3 Gen 2 Lite, based on the Qualcomm QCS5430 processor.

Both the QCS6490 and QCS5430 processors provide efficient, high-performance, AI-enhanced solutions for a wide range of applications, including robotics, AI vision, industrial automation, retail, smart security, precision agriculture, smart metering, predictive maintenance, and personal health. By empowering developers with robust tools for edge computing, Qualcomm Technologies is fostering innovation across various sectors, from established tech companies to startups and even students.

The importance of AI-enabled edge computing

Nadim Ferzli, Staff Manager of Product Marketing at Qualcomm Technologies, highlighted the benefits of AI-enabled edge computing, such as faster response times, on-device decision-making, enhanced security, and cost reduction. By processing data locally, developers can build applications that respond in milliseconds, improving efficiency and reliability for real-time applications like robotics, security, and industrial automation, while reducing reliance on cloud-based processing.

Key features of the Qualcomm RB3 Gen 2 Developer Kits

Modular design and connectivity

The Qualcomm RB3 Gen 2 Kits feature a modular design based on the 96Board compact form factor, which is credit card-sized. This design supports rapid prototyping and proof-of-concept projects. The kits include a wide range of connection options, such as:

• Multiple USB ports

• Ethernet ports

• Camera and display ports

• Various GPIOs for low-speed communication protocols (SPI, UART, I2C)

• High-speed connections (PCIE, USB, MIPI)

Additionally, the kits come with built-in connectivity options like Wi-Fi 6E, Bluetooth 5.2, and optional 5G connectivity through additional modules. Qualcomm Technologies also provides a template for developers to quickly create custom mezzanine cards, allowing for expanded functionality without increasing the kit's size.

Robust processing power

At the heart of the Qualcomm RB3 Gen 2 kits are the QCS6490 and QCS5430 processors. These processors are engineered to handle substantial computing loads at the device level. Key features include:

• Multi-core CPU (up to 8 cores)

• GPU

• AI engine (NPU & DSP) capable of up to 12 dense TOPS (trillions of operations per second)

These specifications enable devices to perform complex data processing at the edge, making the kits ideal for applications such as autonomous robotics, AI vision systems, and smart security.

The power of AI-enhanced edge computing

The Qualcomm RB3 Gen 2's edge-focused approach offers several advantages over traditional cloud-based solutions:

1. Faster Response Times: Processing data locally eliminates latency associated with cloud-based solutions, which is critical for applications requiring real-time decision-making.

2. Enhanced Security: Sensitive data stays on the device, reducing exposure to potential cyber threats during transmission to the cloud.

3. Reduced Costs: By minimizing cloud processing and data transfer, operational costs are significantly reduced.

These benefits are especially valuable for industries like industrial automation, personal health, and smart security, where real-time responses and data privacy are paramount.

Edge AI vision and real-time decisions

Vision Mezzanine option

One of the standout features of the Qualcomm RB3 Gen 2 developer kit is the Vision Mezzanine option. This module includes Qualcomm Technologies’ AI-driven image recognition capabilities and supports dual cameras for high-definition and low-definition image capture.

This feature allows for real-time object detection, making the kit suitable for applications such as:

• Security Systems: Detecting unauthorized entry or potential hazards in real-time.

• Autonomous Drones: Navigating and identifying obstacles without cloud connectivity.

• Industrial Inspection: Automating tasks like defect detection and quality control.

Developers can further expand the kit's capabilities by adding additional cameras available as optional accessories.

Real-world use cases

Ferzli highlighted several practical scenarios where edge AI is essential:

• Search-and-Rescue Missions: Drones equipped with the RB3 Gen 2 kit can identify survivors in real time without relying on cloud connections.

• Railway Safety: A customer project demonstrated a significant reduction in memory usage and costs by switching to the QCS6490 processor for railway inspection robots.

• Bacteria Colony Counting: In laboratories, edge AI automates the counting of bacterial colonies in petri dishes, speeding up the process and reducing human error.

Edge efficiency for robotics and autonomous applications

Low power consumption

The Qualcomm RB3 Gen 2 developer kit is designed for energy efficiency, making it ideal for battery-powered applications such as:

• Mobile Robots: Prolonged operation between charges.

• Drones: Longer flight times and real-time navigation capabilities.

According to Ferzli, Qualcomm’s processors offer "high compute performance, exceptional connectivity, and energy efficiency," all while using less memory compared to competitors.

Practical examples

In one case, a customer replaced a power-hungry and expensive system with a QCS6490-based solution for railway safety inspections. The switch resulted in a 68% reduction in memory usage and improved efficiency due to embedded Wi-Fi connectivity. This demonstrates how Qualcomm’s focus on energy efficiency and connectivity can reduce operational costs while maintaining high performance.

Developer-first approach: Open access and long-term support

Democratizing edge computing

Qualcomm Technologies is committed to making edge computing accessible to a broader range of developers, including small businesses, startups, and students. This is a significant departure from Qualcomm’s traditionally closed and patent-centric business model.

To support this vision, Qualcomm has focused on providing:

• Open Access Tools: Easy-to-use development kits and resources.

• Multiple Operating Systems: The kits support Linux, Android, Ubuntu, and Windows.

• Developer Support: Comprehensive SDKs, sample applications, and demos.

Qualcomm AI Hub

The Qualcomm AI Hub platform allows developers to experiment with over 125 AI models. Developers can optimize and test their models in the cloud before deploying them on physical devices. This platform streamlines the development process and accelerates the time-to-market for new IoT solutions.

Community support and longevity program

Qualcomm Technologies has established a public community forum where developers can ask questions and receive support from Qualcomm experts. Additionally, the longevity program guarantees up to 15 years of hardware and software support, making the kits ideal for long-term projects in industries like medical devices and industrial automation.

Enabling small and large developers alike

Versatile design

The Qualcomm RB3 Gen 2 developer kit’s versatile design supports a wide range of applications, from simple prototypes to complex enterprise solutions. This flexibility makes the kit suitable for:

• Startups: Developing proof-of-concept projects for smart dashcams, fleet management, and more.

• Enterprises: Building industrial robotics, automated quality control systems, and smart infrastructure.

Ferzli noted, “If you’re a college student building a fighting robot, a startup developing a drone, or a multinational designing a worker safety monitoring system, this kit will support your developer journey in the edge-AI transformation.”

Qualcomm technologies’ vision: Accelerating IoT adoption with edge computing

Future of IoT

The Qualcomm RB3 Gen 2 developer kit represents more than just a powerful tool; it embodies Qualcomm’s vision for the future of IoT and edge computing. By prioritizing on-device processing, Qualcomm is leading the charge in efficient AI edge processing, where real-time response, data privacy, and high compute power are essential.

Broader impact

As IoT continues to evolve, Qualcomm’s edge-AI approach is poised to impact industries such as:

• Smart Infrastructure: Improving efficiency and safety in cities.

• Robotics: Enhancing automation in manufacturing and logistics.

• Autonomous Vehicles: Enabling real-time decision-making for safer transportation.

Ferzli summarized Qualcomm’s ambition: “We want to educate developers to utilize AI and IoT products better. Our technology spans the spectrum of IoT and AI, and with our developer-first approach, we’re ready to support developers in shaping the future of edge computing.”

Conclusion

The Qualcomm RB3 Gen 2 developer kit marks a major advancement in edge computing and AI for the IoT space, offering powerful AI-enhanced processing, modular design, and robust connectivity. By democratizing access to cutting-edge technology, Qualcomm is empowering developers—from startups to multinational enterprises—to create innovative solutions across industries like robotics, AI vision, and smart security. With a future-ready approach, the Qualcomm RB3 Gen 2 kit is set to accelerate IoT adoption and empower developers to build smarter, more efficient devices, shaping the future of AI-driven IoT innovation.

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