Computer Vision Using the Raspberry Pi for the Evil Genius
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Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. This fun project book teaches computer vision technology using the Raspberry Pi and RaspiCam This hands-on guide covers the emerging field of computer vision technology and contains interesting projects that use real-time imaging triggers. Computer Vision Using the Raspberry Pi for the Evil Genius clearly explains many different types of real-time visual triggers and the systems that control them. The book then presents step-by-step, DIY home projects--from a pet gate that opens for your pet but keeps out unwanted critters to a bird feeder that can count the number of birds and record information about each one. You will also discover how to conduct crowd size estimations and track specific individuals. Inside, you will learn how to:
- Install and configure OpenCV on your RasPi
- Use OpenCV with a RasPi and RaspiCam
- Incorporate machine learning technology
- Utilize artificial neural networks and AI technologies
- Detect and recognize objects using deep-learning algorithms
- Deploy facial recognition to identify and authenticate specific individuals
- Differentiate between people, animals, and many inanimate objects
- Work with the YOLO object detection algorithm
- Accomplish useful tasks with Keras and SensorFlow
- Install and configure OpenCV on your RasPi
- Use OpenCV with a RasPi and RaspiCam
- Incorporate machine learning technology
- Utilize artificial neural networks and AI technologies
- Detect and recognize objects using deep-learning algorithms
- Deploy facial recognition to identify and authenticate specific individuals
- Differentiate between people, animals, and many inanimate objects
- Work with the YOLO object detection algorithm
- Accomplish useful tasks with Keras and SensorFlow
Format:Paperback
Language:English
ISBN:1260457206
ISBN13:9781260457209
Release Date:February 2020
Publisher:McGraw-Hill Education Tab
Length:336 Pages
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