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Book Overview & Buying
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Table Of Contents
Hands-On Artificial Intelligence for IoT - Second Edition
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In this chapter, we explored the evolving role of AI in processing visual data within IoT ecosystems. Visual data presents both unique opportunities and challenges, requiring advanced AI techniques for efficient processing and meaningful analysis.
We began by examining the unique role of visual data in IoT, distinguishing it from other IoT data types, such as time series or tabular data.
Then, we discussed the high volume and redundancy in video streams, hardware constraints on resource-limited IoT devices, and privacy risks associated with sensitive visual data. Strategies such as data compression, lightweight models, encryption, and ethical AI practices were highlighted as key enablers for mitigating these challenges.
The core of this chapter focused on leveraging AI techniques for visual data in IoT and introduced powerful architectures such as MobileNet, EfficientNet, and YOLO for object detection and classification in real-time, resource-constrained environments...