Case Study: Enhancing Industrial Robotics with Qualcomm based QCS6490 Smarc -module

Background: In the rapidly evolving world of industrial automation, robotics plays a critical role in optimizing processes, increasing efficiency, and ensuring precision across various sectors, including manufacturing, logistics, and material handling. A prominent robotics company, Robotix Co., sought to develop an advanced industrial robot capable of handling high-speed, high-precision tasks in complex manufacturing environments. To achieve this, they needed a powerful, efficient, and flexible computing solution that could handle multiple high-resolution sensor inputs and support real-time decision-making.

Challenge: Robotix Co. faced several challenges in the development of their new industrial robot:

• High-Speed, Multi-Sensor Data Processing: The robot required real-time processing of data from multiple 4K cameras and other sensors, such as LiDAR and proximity sensors, to enable precise navigation, object recognition, and manipulation.
• High-Efficiency Power Management: To ensure efficient operation within the demanding industrial environment, the robot needed to minimize power consumption without compromising on performance.
• Reliable Connectivity and Edge Computing: The robot had to integrate seamlessly with factory automation systems and leverage edge computing to reduce latency in decision-making, especially for mission-critical tasks.
• Flexible and Scalable Platform: A scalable platform was required to future-proof the robot, allowing for easy upgrades and adaptation to evolving use cases.

Challenges in robotics development

Solution: Robotix Co. chose the Qualcomm based QCS6490 smarc -module as the core computing platform for its industrial robot due to its powerful processing capabilities, robust connectivity features, and support for advanced AI and machine learning algorithms.

The QCS6490 is a high-performance system-on-chip (SoC) with:

• 6-core CPU architecture (4x Cortex-A78 and 2x Cortex-A55) capable of handling complex computations in real-time.
• An Adreno 642L GPU for intensive graphics processing, which enabled real-time visual recognition and image analysis from the robot's cameras.
• AI acceleration that empowered the robot to process sensor data efficiently, supporting tasks such as object detection, path planning, and predictive maintenance.
• 4K video capture and processing via MIPI CSI interfaces, essential for handling the high-resolution data streams from multiple cameras.
• Multi-sensor integration: The module supported up to six cameras, crucial for Robotix Co.’s robot that required omnidirectional vision and precise object detection.

Implementation: Robotix Co. integrated six cameras into the robot—two 4K cameras for detailed object recognition and two 2K cameras for peripheral vision and spatial awareness. These cameras fed high-definition video streams to the QCS6490, which processed the data in real time using H.265 encoding to reduce bandwidth and storage requirements.

The QCS6490’s AI accelerator was instrumental in enabling advanced machine learning algorithms that allowed the robot to:

• Identify and classify objects in the manufacturing environment with high accuracy.
• Adapt to changes in its surroundings, such as recognizing new obstacles or variations in the manufacturing line.
• Perform predictive maintenance by analyzing sensor data to predict and mitigate mechanical issues before they led to downtime.

Furthermore, the integrated 5G and Wi-Fi 6 connectivity allowed the robot to communicate seamlessly with central factory control systems. This ensured that the robot operated in coordination with other machines and could send critical data to the cloud for long-term analysis, while also performing real-time tasks at the edge.

How you do your image recognition with QCS6490 smarc -module.

Results: The Qualcomm QCS6490-powered industrial robot provided the following key benefits:

• Increased Productivity: The robot's ability to process data from multiple sensors and cameras in real time improved its precision and speed, reducing cycle times in manufacturing tasks by 20%.
• Reduced Downtime: Predictive maintenance algorithms running on the AI accelerator helped avoid unexpected breakdowns, reducing downtime by 15%.
• Energy Efficiency: Despite its powerful capabilities, the QCS6490's efficient design helped reduce overall power consumption, which was a critical factor for long-term deployment in energy-sensitive industrial environments.
• Scalability: The flexibility of the QCS6490 smarc -platform allowed Robotix Co. to scale their robotics solution for different industrial applications, from automotive assembly lines to warehouse automation, with minimal hardware adjustments.

Conclusion: By leveraging the Qualcomm QCS6490 smarc -module, Robotix Co. was able to create a cutting-edge industrial robot that combined high processing power, AI-driven intelligence, and advanced connectivity features. The solution not only addressed the immediate needs of high-speed, high-precision manufacturing environments but also laid the foundation for future innovations in industrial automation. The robot’s success showcased how powerful, embedded platforms like the QCS6490 smarc can drive advancements in industrial robotics, paving the way for smarter, more efficient factories