Qualcomm Technologies, Inc held an event in Kuala Lumpur on 29 March 2023 to showcase its latest advancements in artificial intelligence (AI) and the potential of Connected Intelligent Edge.
Bringing connectivity, data processing, and intelligence to the edge
- The Connected Intelligent Edge is the convergence of 5G networks, edge computing, and AI. This integration allows data to be processed and analysed in real-time, allowing faster decision-making and response times. As a result, various industries, including manufacturing, transportation, and security, can take advantage of this technology.
- In healthcare, Connected Intelligent Edge devices monitor patients in real time, providing medical professionals with vital data to provide better care. For example, these devices can track a patient’s vital signs, such as blood pressure and heart rate, and send the information to healthcare providers in real-time. This method allows medical professionals to identify issues and take appropriate action quickly.
- Connected Intelligent Edge devices are being used in transportation to make vehicles safer and more efficient. For example, sensors placed throughout a car can monitor its performance and provide real-time data to the driver, alerting them to any issues. The information can help prevent accidents and improve fuel efficiency, reducing costs and environmental impact. In addition, the technology can create smarter, more efficient transportation systems, improving traffic flow and reducing congestion.
- Connected Intelligent Edge technology has the potential to revolutionize the way we live, work, and interact with each other. With its ability to collect, process, and analyse vast amounts of data in real-time, the Connected Intelligent Edge technology enables us to create a more efficient, safer, and innovative world.
Keeping enterprise environments safe with smart devices at the Connected Intelligent Edge
- Connected intelligent camera solutions can secure and safeguard enterprise environments, transform enterprise security and public safety segments, and optimize business operations.
- Three technology trends driving innovation in camera technology for the security industry are:
•Security camera sensors are rapidly transitioning from Full HD (FHD) to 4K resolutions. Camera makers are adding multiple sensors to a single camera unit, enabling higher utilization of the underlying hardware.
•Modern security cameras have increased computational capabilities, and companies are innovating with newer machine-learning models for various use cases such as people and object detection, classification, people counting, and vehicle recognition.
•5G provides low latency and high bandwidth, introducing security cameras to various new use cases, from mission-critical emergency services to smart factories and smart cities. - The AI Box is an intelligent edge device that supports traditional IP camera video streams to be offloaded and processed via the box — powered by system-on-chip(SOC)s designed for high compute and high concurrency of machine learning-based analytics across multiple camera streams.
- For instance, the Qualcomm QS8250 and Qualcomm QRB5165 can decode incoming video streams and run AI models on each stream concurrently, requiring very little power to operate. Furthermore, 5G enables more time-sensitive and bandwidth-intensive applications.
- The AI Box approach is aligned with the industry’s shift from video management software (VMS) to Video software as a service (VsaaS) implementation, enabling businesses to optimize their operations, increase profits, and strategize growth.
- Eventually, the industry will observe growth in edge AI Boxes and advanced AI cameras that improve businesses’ quality and productivity and efficiency and safety in cities.
Driving the convergence of the PC and mobile to increase productivity
- New digital tools and increased online collaboration have become the norm. Thus, there is a greater need for mobile computing devices that deliver new performance levels with incredible power efficiency and fast, reliable connectivity from virtually anywhere.
- This new era of productivity and entertainment also requires high-quality cameras and audio for a clear and crisp virtual presence, dedicated on-device AI processing to power interactions with incredible power efficiency, and enhanced security tools.
- Chip developers are integrating artificial intelligence capabilities into enterprise PCs, which will become more prevalent. The aim is to provide enterprises with the right computing power to run their workforces effectively. On-device AI enables software applications to take full advantage of AI capabilities. The goal is to provide consumers with an optimized experience, enhancing the software, hardware, and connectivity and ensuring no obstacles between users and their aspirations.
