Visual data is driving the next wave of transformation across industries. Harness vision-based edge AI to collect the right visual data to avoid data overload, reduce costs, and unlock innovation. Embrace vision AI at scale to create new value for customers and earn a competitive edge.
Vision-based data uncovered by AI holds the key to unlocking insights that were once invisible. Vision-based AI sifts through the noise and captures only the most relevant insights to optimize resources and maximize impact. The right tools can transform vision data into a springboard for innovation.
AITRIOS is the disruptor that changes the economics of computer vision AI moving AI processing to the extreme edge, on the vision sensor, to reduce the need for complex networking infrastructure and costly edge servers.
Reduced latency and minimized bandwidth demands enable real-time decisions at scale, unlocking actionable insights that optimize resource utilization and reduce operational costs. Lowering workload on cloud infrastructure further minimizes expenses and fosters environmental sustainability.
Vision AI unlocks a new era of automation, real-time insights, and decision-making that is transforming industries to create a generation of new products, enhanced customer experiences, and unprecedented profits.
While traditional logistics grapple with inefficiencies, vision-based edge AI offers promising optimization tools. Vision-based AI can track packages, streamline warehouse operations, and optimize routes. This translates to improved inventory management, reduced downtime, and smoother deliveries. The potential cost savings, operational agility, and enhanced customer satisfaction make edge AI a compelling prospect for future-proof logistics.
Operational complexities and customer experience expectations challenge traditional retail. Vision-based edge AI can automate inventory management, personalize customer experiences, and streamline operations; imagine streamlined self-checkout, reduced stockouts, and targeted promotions based on shopper behavior. The potential cost reductions, revenue gains, and enhanced customer loyalty through frictionless experiences make edge AI compelling to ensure a competitive edge in the evolving retail landscape.
Traditional manufacturing wrestles with inefficiencies and quality inconsistencies. Vision-based edge AI can scan for flaws, automate tasks, and optimize processes. This translates to reduced downtime, increased output, and potentially flawless quality control. Edge AI can lead to potential cost savings, productivity gains, and quality improvements that may usher in a new era of operational excellence in manufacturing.
Warehouse utilization is a critical driver for profitability and scale in ecommerce. However, it's often inefficient and inaccurate due to manual inventory cycle counting conducted by employees. Vision-based AI automates real-time inventory cycle counting to improve warehouse space utilization and expand sales volume without increasing headcount.
Automated shelf monitoring streamlines inventory management, boosting on-shelf availability and customer satisfaction. This translates to higher sales and reduced costs for retailers. By automatically replenishing popular items, vision-based AI minimizes lost sales, while also freeing up employee time previously spent on manual stock checks.
AITRIOS integrates each element of an application to make it easy to develop, deploy and manage vision-based AI.
Enterprises can build and manage a wide range of vision-based AI applications on AITRIOS based the unique priorities of their business.
Applications built on AITRIOS are simpler and more cost-effective to make deployment at scale more practical.
Sony Semiconductor Solutions Corporation (SSS) is excited to announce a new partnership with Ultralytics, a leader in Vision AI technology and the creator of the renowned YOLO (You Only Look Once) model series. This collaboration enables Ultralytics YOLOv8 to integrate seamlessly with the IMX500 Intelligent Vision Sensor from SSS, delivering advanced, real-time object detection capabilities directly at the edge.
Local Studio was designed for industrial-grade applications and can be used in a local network environment, especially convenient for rapid prototyping. With this tool, users will be able to develop AI models without having prior, specialized AI knowledge or education, making it a quick-start way to explore the new Raspberry Pi AI Camera.
Sony Semiconductor Solutions Corporation (SSS) will be taking part as a platinum sponsor of the "Open Source Summit Japan" and "AI_dev: Open Source GenAI & ML Summit Japan" in Toranomon Hills Forum from October 28-29th, 2024. We will exhibit AITRIOS™, Sony’s edge AI sensing platform, as well as our recently-announced AI camera jointly developed with Raspberry Pi.