{"product_id":"visual-inference-for-iot-systems-a-practical-approach-9783030909055","title":"Visual Inference for IoT Systems: A Practical Approach","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eThis book provides a practical approach to implementing Internet of Things (IoT) devices with visual inference through deep neural networks, covering hardware and software selection, network architectures, and a case study on animal recognition. It is aimed at researchers, industrial practitioners, and graduate students in computer vision and IoT. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 159 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 31 January 2023\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer Nature Switzerland AG\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eThis comprehensive book delves into the realm of implementing Internet of Things (IoT) devices, leveraging the power of deep neural networks for visual inference. It offers a systematic approach, covering practical aspects and providing guidelines for selecting optimal hardware and software components, as well as network architectures, based on specific application requirements. The monograph is enriched with a remarkable set of experimental results and functional procedures, substantiating the theoretical concepts and methodologies presented. Additionally, a captivating case study on animal recognition using smart camera traps is presented, thoroughly analyzed, and explored through various system alternatives. A comprehensive realization is developed, accompanied by illustrations, numerous plots from simulations and experiments, and supporting information in the form of charts and tables. Visual Inference and IoT Systems: A Practical Approach serves as a clear and detailed guide to the subject, appealing to researchers, industrial practitioners, and graduate students in the fields of computer vision and IoT.\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis comprehensive book delves into the realm of implementing Internet of Things (IoT) devices, leveraging the power of deep neural networks for visual inference. It offers a systematic approach, covering practical aspects and providing guidelines for selecting optimal hardware and software components, as well as network architectures, based on specific application requirements. The monograph is enriched with a remarkable set of experimental results and functional procedures, substantiating the theoretical concepts and methodologies presented. Additionally, a captivating case study on animal recognition using smart camera traps is presented, thoroughly analyzed, and explored through various system alternatives. A comprehensive realization is developed, accompanied by illustrations, numerous plots from simulations and experiments, and supporting information in the form of charts and tables. Visual Inference and IoT Systems: A Practical Approach serves as a clear and detailed guide to the subject, appealing to researchers, industrial practitioners, and graduate students in the fields of computer vision and IoT.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 279g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 235 x 155 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9783030909055\u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: 1st ed. 2022\u003c\/p\u003e","brand":"Delia Velasco-Montero,Jorge Fernandez-Berni,Angel Rodriguez-Vazquez","offers":[{"title":"Paperback \/ softback","offer_id":44302302380282,"sku":"9783030909055","price":91.62,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/noImage_1_f4b2c6ae-b9af-4dfc-b8f0-fa55970818d9.jpg?v=1687924599","url":"https:\/\/shulphink.com\/products\/visual-inference-for-iot-systems-a-practical-approach-9783030909055","provider":"Shulph Ink","version":"1.0","type":"link"}