{"product_id":"drone-computer-vision-with-python-eleanor-sloane-9798188291570","title":"Drone Computer Vision with Python: Build Beginner-Friendly UAV Projects Using OpenCV, Cameras, and Object Tracking","description":"\u003cb\u003eTeach Your Drone to See-One Practical Project at a Time\u003c\/b\u003e\u003cp\u003eA drone camera can capture thousands of images and video frames, but recording a scene is not the same as understanding it.\u003c\/p\u003e\u003cp\u003eA person can look at aerial footage and recognise a landing marker, moving vehicle, damaged surface, or important ground feature. A computer needs a repeatable process for finding those details, measuring them, following them across frames, and recording the results.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDrone Computer Vision with Python\u003c\/b\u003e provides a practical, beginner-friendly path into aerial image processing, live video analysis, object detection, and visual tracking using Python and OpenCV.\u003c\/p\u003e\u003cp\u003eInstead of beginning with complicated mathematics or advanced machine-learning theory, this book starts with individual images and recorded footage. You will gradually progress to live cameras, landing-target recognition, motion analysis, feature matching, pretrained detection models, persistent tracking, flight telemetry, and companion-computer deployment.\u003c\/p\u003e\u003cp\u003eInside this hands-on guide, you will learn how to: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eUnderstand classification, detection, segmentation, and tracking\u003c\/li\u003e\n\u003cli\u003eTurn camera frames into measurable pixel data\u003c\/li\u003e\n\u003cli\u003eDesign a complete vision-processing pipeline\u003c\/li\u003e\n\u003cli\u003eSeparate image processing from flight-critical aircraft control\u003c\/li\u003e\n\u003cli\u003eChoose between onboard, ground-based, and hybrid processing\u003c\/li\u003e\n\u003cli\u003eUnderstand the roles of the camera, flight controller, companion computer, telemetry link, storage device, and ground station\u003c\/li\u003e\n\u003cli\u003eSet up an organised and reproducible development workspace\u003c\/li\u003e\n\u003cli\u003eCreate and manage isolated Python virtual environments\u003c\/li\u003e\n\u003cli\u003eInstall NumPy, OpenCV, Matplotlib, PyYAML, MAVSDK, and supporting tools\u003c\/li\u003e\n\u003cli\u003eAvoid conflicts between standard, contributed, and headless OpenCV packages\u003c\/li\u003e\n\u003cli\u003eRecord package versions and rebuild a project environment from its dependency file\u003c\/li\u003e\n\u003cli\u003eSelect cameras for aerial inspection, landing assistance, and ground-object observation\u003c\/li\u003e\n\u003cli\u003eCompare USB, CSI, action, network, rolling-shutter, and global-shutter cameras\u003c\/li\u003e\n\u003cli\u003eBalance resolution, frame rate, image detail, processing speed, storage, and latency\u003c\/li\u003e\n\u003cli\u003eUnderstand exposure, gain, focus, compression, field of view, and motion blur\u003c\/li\u003e\n\u003cli\u003eIdentify propeller vibration, rolling-shutter distortion, buffering, and lighting problems\u003c\/li\u003e\n\u003cli\u003eRead, display, resize, crop, convert, and save images\u003c\/li\u003e\n\u003cli\u003eWork with pixels, colour channels, masks, thresholds, and regions of interest\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThese projects follow a deliberate progression from repeatable offline analysis to live-camera work and, finally, controlled UAV integration. The book keeps flight stabilisation on the flight controller while assigning experimental image analysis to a companion or ground computer.\u003c\/p\u003e\u003cp\u003eRecorded footage is used first because it can be replayed and examined safely. Live-camera and aircraft-connected projects are introduced only after the underlying processing pipeline behaves predictably.\u003c\/p\u003e\u003cp\u003eWhether you are a drone pilot, Python learner, robotics student, inspection professional, researcher, maker, Raspberry Pi user, or developer exploring aerial imagery, this guide will help you move from raw footage to practical visual observations.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eCapture the frame. Validate the data. Find the target. Track the result. Keep experimental software separate from safe flight control.\u003c\/b\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Eleanor Sloane\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798188291570\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 07\/21\/2026\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 242\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.65lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.00h x 6.00w x 0.61d","brand":"Eleanor Sloane","offers":[{"title":"Paperback","offer_id":49002265936127,"sku":"9798188291570","price":18.99,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.whiterainbookhouse.com\/products\/drone-computer-vision-with-python-eleanor-sloane-9798188291570","provider":"WR Book House","version":"1.0","type":"link"}