camera Archives - Page 3 of 35 - Raspberry PI Projects

The machine learning tools for microcontrollers are not much performant for such resource intensive embedded applications

How to read analog signals in Raspberry Pi using ADS1015/ADS1115

The Raspberry Pi is widely recognized as the most popular single-board computer. Given its nature as an embedded microcomputer, the acquisition of data is almost indispensable in Raspberry Pi. While the Pi is equipped with several GPIO (General Purpose Input/Output) pins, it lacks a built-in or onboard analog-to-digital converter. Consequently, the Pi itself cannot directly […]

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Connecting the push button to the GPIO ports on your Raspberry Pi 3 via the breadboard

Building a Raspberry Pi 3 prototype camera that takes a picture at the press of a button

One interesting way to test the Raspberry Pi Camera on a Raspberry Pi 3 is by creating a prototype that captures a picture when a button is pressed. This activity allows us to gain hands-on experience in: – Connecting a button to the GPIO ports of a Raspberry Pi. – Setting up the camera using

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EKIN’S AI CAMERA FOR TRAFFIC DATA, MANAGEMENT, AND ENFORCEMENT

Ekin X has announced its portable smart traffic system AI camera for data collection to enhance traffic and parking management for an efficient smart city. The AI camera uses Ekin X Spotter for a smart AI-based traffic enforcement system for performing ALPR (Automatic License Plate Recognition), speed, and violation detection of the automobiles in its range. The ALPR and vehicle speed

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How to Use a Thermal Camera with a Raspberry Pi

There are now various infrared (IR) camera sensors available for electronics enthusiasts, which enable the measurement of thermal radiation. By incorporating a microprocessor, these off-the-shelf sensors can be transformed into fully functional thermal cameras. It is important to note that the resolution provided by these sensors is lower compared to commercially available thermal cameras. However,

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IoT based Smart Wi-Fi doorbell using Raspberry Pi and PiCamera

In the current era, security is a major concern, and the market offers a wide range of surveillance and security systems. However, these solutions can be quite expensive and may come with their own set of problems that are difficult to resolve. In a previous project, we constructed a surveillance camera capable of streaming live

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images taken from Raspberry Pi magazines and Fritzing project

How to plug two camera modules on a Raspberry Pi

To begin, here are some introductory remarks: I apologize for any shortcomings in my English. I hope to be easily understood by all readers, and if that’s not the case, please feel free to ask any questions. I wrote this tutorial when my project was nearly finished, so there is a possibility that I may

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Raspberry Pi Computer Vision Made Simple

When the Raspberry Pi 4 was introduced, featuring four 1.5 GHz CPU cores and up to 8GB of RAM, it left the community astonished. This additional processing power opened up new possibilities for utilizing the Raspberry Pi in machine learning and AI projects. As time progressed, TensorFlow and TensorFlow Lite underwent numerous enhancements, solidifying the

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VAYYAR 4D IMAGING RADAR

Recently, we have showed how radar technologies are useful for the automotive industry, when we dove into the Antenna-On-Package mmWave Sensor from Texas Instruments. As a refresher, more precise radars can be put into great use in the vehicles. Further enhanced seatbelt reminders, enhanced children detectors, better airbag deployment and intruder alert are some of the key advantages.

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A Guide to Set Up Raspberry Pi for Computer Vision

In this article, I will demonstrate the process of setting up a Raspberry Pi for computer vision. The Raspberry Pi is a line of inexpensive single-board computers, known for their compact size comparable to a credit card. Since its initial release in 2012, it has gained immense popularity among hobbyists and makers worldwide. In fact,

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AMBARELLA CV5 AI VISION SOC FOR LOW POWER COMPUTER VISION APPLICATIONS

Ambarella announced the CV5 AI Vision SoC for AI applications using its specialized computer vision technology. The AI Vision SoC features 8K video or 4K video processing along with video encoding/decoding, and CVflow computer vision processing in a single, low-power design. The SoC is fabricated using 5nm technology and allows the development of intelligent automotive camera systems,

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