Modern Computer Vision (CV) applications are increasingly being executed on the edge, directly on remote client devices. This shift towards edge computing relies on high speed and low latency for real-time data transfer, making 5G the ideal solution. Edge computing, such as CV and Artificial Intelligence (AI), is crucial for the expansion and coverage of 5G networks.
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5G technology represents the latest generation of mobile networks, offering increased speeds and reduced latency compared to its predecessor, 4G. With new radio interfaces and frequency bands, 5G opens up new opportunities for various market segments.
The era from 2020 to 2030 will witness the widespread adoption of 5G network infrastructure, enhancing data transfer speeds and reducing latency. Key features of 5G include low latency, high device density, increased capacity per area, improved spectral efficiency, and enhanced energy efficiency.
The integration of edge computing and 5G networks has generated immense expectations across industries. Implementing computer vision over 5G involves processing data at the edge, providing enhanced power and connectivity levels for various applications.
In a recent study by Zahidi et al. (2024), an agriculture robotic system was developed with an edge server and private 5G connection for strawberry picking. The system aimed to mimic human vision and improve the efficiency of fruit-picking robots.
The experiments conducted at the University of Lincoln, UK, involved collecting images for training and testing the models’ performance. The system architecture included components like image gathering, semantic segmentation, grid map generation, action planning, and grip manipulation.
5G’s impact on computer vision applications is significant, with advancements in edge computing, distributed image processing, image recognition, and security applications. The combination of 5G networks and edge computing enables the deployment of customized applications closer to end users, reducing network traffic and processing data faster.
In summary, the integration of 5G networks with computer vision technologies offers numerous benefits across various industries. With the rapid development of smart applications utilizing technologies like CV, IoT, AR, and VR, the full potential of 5G networks is being realized.
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**Frequently Asked Questions:**
1. **Advantages of 5G networks:** High download speeds, low latency, and large density of connected devices.
2. **Edge computing and edge devices:** Edge computing involves distributed computing with devices closer to data sources, where edge devices independently process data without sending it to a central server.
3. **Key components of agriculture robotic system:** Gripper, edge server, private 5G connection, and laptop for image processing.
4. **Requirements for implementing computer vision over 5G:** Sophisticated cameras with specialized software for image processing and a stable 5G connection.
5. **Application areas of computer vision over 5G:** Agriculture, traffic, security, construction industry, etc.
