Python Video for Data-Driven Engineering

Описание: Electro-optical sensors detect and convert light into an electronic signal. Digital cameras are a source of visual information that can be translated into quantifiable information for data-driven engineering. Video frames are used to analyze flare stacks for pollutants, navigate self-driving cars, detect intruders, and build 3D photogrammetric models. This tutorial is a demonstration of video data analysis with an application to running form analysis.

📝 Python Video https://apmonitor.com/dde/index.php/M...

Data-driven engineering is an important concept in modern engineering. It involves the use of data to drive decision-making and to make engineering decisions that are more informed and accurate. This tutorial provides an overview of data-driven engineering file access and how it is used to make better decisions.

Data-driven engineering file access is the use of data to drive decision-making and to make engineering decisions that are based on data. It involves the use of data sources such as databases, file systems, and other data sources to access and analyze data.

The data-driven engineering file access process generally consists of three steps:

1. Collecting the data
2. Analyzing the data
3. Making decisions based on the data

These steps are all part of the data-driven engineering process.

Collecting the Data

The first step in the data-driven engineering file access process is to collect the data. This step involves gathering and storing data from various sources. This could include databases, file systems, or other data sources. The data should be collected in a way that is organized and easy to access.

File Types and Data Formats

There are many types of data formats that are imported and analyzed in data-driven engineering. Text files with Comma Separated Values (CSVs) are generated from an OBD-II connection to a vehicle Electronic Control Module (ECM). Many microphones detect small changes in the air pressure at 48 kHz to convert sound into an electronic signal. Electro-optical (EO) convert light into an electronic signal that is stored in a video file. Each file is a repository of information. A database is another collection of information that is built to allow data access with reading and writing to the storage. Cloud storage is similar to local access, but the information is more broadly accessible to any device that has an Internet connection. Each of these data access formats requires special consideration to read and extract information. This section is an overview of each data storage mechanism with examples to demonstrate data import, analysis, and export. The objective is to refine the information to extract useful information from data.

The data access modules reviewed in this section are:

1️⃣ Text 🗒
2️⃣ Audio 🔊
3️⃣ Video 🎥
4️⃣ Database 🗃
5️⃣ Sensors 💻
6️⃣ Cloud ⛅
7️⃣ Web Scraping 🌐

There are additional methods for extracting data from documents such as reading tables from PDF documents, importing tables from spreadsheet files, reading values from legacy charts, and proprietary file formats.