The integration of vision into Internet of Things (IoT) devices is revolutionizing how these devices interact with and perceive the world, driving a surge in IoT use cases that were previously not feasible economically.
Vision-related applications range from security and monitoring in smart homes to inventory management and supply chain management in smart retail or factories, enhancing efficiency and safety across various sectors.
Machine Learning Neural Networks play a crucial role in vision applications, enabling object detection, image classification, facial recognition, and gesture recognition among others.
Arm's Corstone-320 reference design simplifies the development of IoT vision devices by integrating IP, software, and prototyping platforms, enhancing performance, energy efficiency, and security.
The Cortex-M85 processor, Ethos-U85 NPU, Mali-C55 ISP, and DMA-350 are key IP components integrated into the Corstone-320, providing energy efficiency, high performance, ML acceleration, and security features.
The Corstone-320 offers a flexible and scalable solution for developing IoT vision devices across various segments, with components like object recognition, gesture recognition, and advanced presence sensing.
Arm's Cortex-M85 processors are chosen for low-cost, low-power IoT vision devices due to their energy efficiency, high performance, security features, and versatility.
The integration of vision into IoT devices presents a vast opportunity for innovation, enabling new applications and capabilities. The Corstone-320 reference design streamlines the development of intelligent IoT vision devices.
Arm's ecosystem provides a wide range of AI partners offering competitive ML models and software to cater to diverse IoT vision use cases, from high-end to low-power applications.
Overall, the integration of vision technology in IoT devices has the potential to spark a wave of innovation and evolution in the IoT industry, reminiscent of the Cambrian explosion in species triggered by the evolution of the eye.