Computer Vision with Maker Tech: Detecting People With a Raspberry Pi, a Thermal Camera, and Machine Learning - Image 1

£41.05

Apress Computer Vision with Maker Tech: Detecting People With a Raspberry Pi, a Thermal Camera, and Machine Learning

Name: Computer Vision with Maker Tech: Detecting People With a Raspberry Pi, a Thermal Camera, and Machine Learning
Brand: Apress
Price: 41.05 GBP
Availability: InStock

Hardware & DIY

This is the usual price. Wait for it to drop, or tell us your number.

£41 today · usual range £0–£0 · best ever £32

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 626 days • 626 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 626 days • 9 price levels

Days at Price

Current Price

Price Analysis

Most common price: £41 (291 days, 46.5%)

Price range: £32 - £42

Price levels: 9 different prices over 626 days

Description

Harness the untapped potential of combining a decentralized Internet of Things (IoT) with the ability to make predictions on real-world fuzzy data. This book covers the theory behind machine learning models and shows you how to program and assemble a voice-controlled security. You’ll learn the differences between supervised and unsupervised learning and how the nuts-and-bolts of a neural network actually work. You’ll also learn to identify and measure the metrics that tell how well your classifier is doing. An overview of other types of machine learning techniques, such as genetic algorithms, reinforcement learning, support vector machines, and anomaly detectors will get you up and running with a familiarity of basic machine learning concepts. Chapters focus on the best practices to build models that can actually scale and are flexible enough to be embedded in multiple applications and easily reusable. With those concepts covered, you’ll dive into the tools for setting up a network to collect and process the data points to be fed to our models by using some of the ubiquitous and cheap pieces of hardware that make up today's home automation and IoT industry, such as the RaspberryPi, Arduino, ESP8266, etc. Finally, you’ll put things together and work through a couple of practical examples. You’ll deploy models for detecting the presence of people in your house, and anomaly detectors that inform you if some sensors have measured something unusual. And you’ll add a voice assistant that uses your own model to recognize your voice. What You'll Learn Develop a voice assistant to control your IoT devices Implement Computer Vision to detect changes in an environment Go beyond simple projects to also gain a grounding machine learning in general See how IoT can become "smarter" with the inception of machine learning techniques Build machine learning models using TensorFlow and OpenCV Who This Book Is For Makers and amateur programmers interested in taking simple IoT projects to the next level using TensorFlow and machine learning. Also more advanced programmers wanting an easy on ramp to machine learning concepts.

Product Specifications

Brand: Apress
Format: paperback
ASIN: 1484268202
Category: Books > Subjects > Computing & Internet > Hardware & DIY
Domain: Amazon UK
Release Date: 11 February 2021
Listed Since: 21 November 2020

Barcode

No barcode data available

Apress Computer Vision with Maker Tech: Detecting People With a Raspberry Pi, a Thermal Camera, and Machine Learning

This is the usual price. Wait for it to drop, or tell us your number.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Intelligent Mobile Projects with TensorFlow: Build 10+ Artificial Intelligence apps using TensorFlow Mobile and Lite for iOS, Android, and Raspberry Pi

Visual Inference for IoT Systems: A Practical Approach

Green Industrial Applications of Artificial Intelligence and Internet of Things

Sensor Data Analysis and Management: The Role of Deep Learning (IEEE Press)

Handbook of Research on AI and ML for Intelligent Machines and Systems

Advances in Information and Communication: Proceedings of the 2021 Future of Information and Communication Conference (FICC), Volume 1: 1363 (Advances in Intelligent Systems and Computing, 1363)

State-of-the-Art Deep Learning Models in TensorFlow: Modern Machine Learning in the Google Colab Ecosystem

AI and IoT Technology and Applications for Smart Healthcare Systems (Advances in Computational Collective Intelligence)

AI and IoT Technology and Applications for Smart Healthcare Systems (Advances in Computational Collective Intelligence)

Trends in Ambient Intelligent Systems: The Role of Computational Intelligence: 633 (Studies in Computational Intelligence, 633)

Cognitive Internet of Things: Frameworks, Tools and Applications: 810 (Studies in Computational Intelligence, 810)

Multimedia Analysis, Processing and Communications: 346 (Studies in Computational Intelligence, 346)

Advanced Intelligent Systems for Sustainable Development (AI2SD’2019): Volume 3 - Advanced Intelligent Systems for Sustainable Development Applied to ... in Intelligent Systems and Computing, 1104)

Springer Vision, Sensing and Analytics: Integrative Approaches

Behavior Analysis with Machine Learning Using R (Chapman & Hall/CRC The R Series)

Intelligent Systems and Interfaces: 15 (International Series in Intelligent Technologies, 15)

Deep Learners and Deep Learner Descriptors for Medical Applications: 186 (Intelligent Systems Reference Library, 186)

Advances in Computer Vision: Proceedings of the 2019 Computer Vision Conference (CVC), Volume 1: 943 (Advances in Intelligent Systems and Computing, 943)

Soft Computing in Intelligent Control: 272 (Advances in Intelligent Systems and Computing, 272)

Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python

Intelligent Systems: Theory, Research and Innovation in Applications: 864 (Studies in Computational Intelligence, 864)

Behavior Analysis with Machine Learning Using R (Chapman & Hall/CRC The R Series)

Edge Computing and Computational Intelligence Paradigms for the IoT

Innovation in Information Systems and Technologies to Support Learning Research: Proceedings of EMENA-ISTL 2019: 7 (Learning and Analytics in Intelligent Systems, 7)