#GPS Tracker Arduino

[mobappdevelopmentcompany]

How will AI Power the Next Generation of Healthcare Wearables? 

Wearables have become one of the most sought-after tools for proactive healthcare and wellness management. Be it tracking heart rate, ECG, blood oxygen levels, and fall detection using the Apple Watch; monitoring blood glucose levels with Dexcom G6; gaining crucial insights into one’s sleep quality, heart rate, and body temperature with the Oura Ring; or using the iRhythm Zio Patch for extended ECG monitoring to diagnose heart conditions; wearables have become an integral part of our healthcare and wellness objectives.  

Nevertheless, the future of these devices is even more promising, thanks to the integration of Artificial Intelligence in wearable app development. But how exactly will AI power the next generation of healthcare wearables? What should be the approach of healthcare and wellness providers? Let’s explore! 

The Convergence of Wearables and AI 

Artificial Intelligence has already made significant strides in healthcare, from diagnosing diseases with greater accuracy to predicting health trends. Wearable devices, which have traditionally focused on tracking physical metrics, are now set to evolve by incorporating AI algorithms. This convergence of AI and wearables will enable devices to do far more than simply collect data; they will offer actionable insights, personalized health recommendations, and even early warnings about potential health issues. 

Key Drivers of Convergence 

Miniaturization of Hardware: The development of compact sensors and processors enables wearables to host AI capabilities without compromising comfort. 

Data Proliferation: Wearables generate vast amounts of biometric and activity data, fueling AI algorithms to deliver accurate insights. 

Cloud and Edge Computing: These technologies empower wearables with the ability to process data locally (edge) or leverage extensive computational resources (cloud). 

Emerging Trends 

Devices like AI-integrated patches and smart glasses are becoming diagnostic tools, bridging the gap between home care and clinical settings. 

AI dynamically adjusts wearable interfaces, enhancing accessibility and usability for diverse users. 

AI wearables integrate seamlessly with smart home and IoT devices, creating a unified personal technology environment 

Use Cases of AI-powered Wearables  

Healthcare Monitoring 

Early Diagnosis: AI-powered wearables monitor vital signs like heart rate, blood oxygen levels, and glucose levels, identifying anomalies indicative of conditions like arrhythmias or diabetes. 

Chronic Disease Management: Continuous monitoring and AI analysis help patients manage chronic illnesses effectively, providing actionable feedback to users and healthcare providers. 

Fitness and Lifestyle 

Personalized Fitness Plans: AI in wearables interprets activity levels and fitness goals to design tailored workout regimens. 

Sleep Analysis: Smart wearables analyze sleep patterns, suggesting interventions to improve rest quality. 

c. Mental Health Support 

AI-enabled wearables detect stress through biometric markers like heart rate variability and galvanic skin response. They offer real-time interventions, such as guided breathing or meditation exercises. 

d. Enhanced Productivity 

Smart Assistants: Voice-controlled AI assistants in wearables streamline task management and reminders. 

Context-Aware Notifications: AI filters and prioritizes alerts based on user context to reduce distractions. 

How to code an AI-powered Wearable? 

1. Choose Your Wearable Hardware 

Select a suitable platform for your wearable, such as: 

Smartwatches (Fitbit Smartwatch, Apple Watch, Google Pixel Watch, etc.) 

Fitness trackers (Fitbit, Garmin) 

Custom hardware (using platforms like Arduino or Raspberry Pi with sensors) 

Ensure your device has sensors like accelerometers, gyroscopes, heart rate monitors, or GPS, depending on the functionality you want. 

2. Set Up Development Environment 

Smartwatch/Phone Apps: Use SDKs for specific platforms like Apple's WatchKit, Google Fit, or other wearable APIs. 

Custom Hardware: Use Arduino IDE, Raspberry Pi with Python, or ESP32 for Bluetooth connectivity. 

3. Sensor Data Collection 

Wearables collect various data types, such as: 

Accelerometer data (motion, step count) 

Heart rate (using sensors like PPG) 

Temperature or humidity (depending on the wearable) 

GPS data (for location tracking) 

Use appropriate libraries or APIs to fetch sensor data. For example: 

Apple Watch: Use HealthKit to retrieve health-related data. 

Fitbit: Use Fitbit API for activity data. 

Custom Hardware: Use libraries specific to sensors (e.g., Adafruit libraries for accelerometers or temperature sensors). 

4. Preprocessing the Data 

Before sending the data to your AI model, you'll often need to preprocess it: 

Noise removal: Use filters to remove noise from sensor data. 

Normalization: Normalize the sensor data for better model performance. 

Feature extraction: Extract meaningful features (e.g., step count, movement patterns, heart rate variability). 

5. Develop or Integrate AI Models 

AI models can enhance the wearable’s functionality. Examples include: 

Activity recognition: Detect types of activities (walking, running, etc.) using sensor data. 

Health prediction: Predict heart health, stress levels, or sleep patterns. 

Personalized feedback: Provide suggestions for exercise, rest, etc. 

You can develop machine learning models in: 

Python: Using frameworks like TensorFlow, Keras, or PyTorch. 

Edge AI frameworks: For running models directly on the wearable (e.g., TensorFlow Lite for mobile/embedded devices). 

You might need to train the models on large datasets (e.g., sensor data labeled with activities or health metrics). Once the model is trained, convert it into a format suitable for deployment on the wearable device. 

6. Deploying the AI Model 

On-device AI: For real-time AI processing, you can deploy the model directly onto the wearable’s hardware (using TensorFlow Lite, CoreML for Apple devices, etc.). 

Cloud AI: Alternatively, send data to the cloud (via Bluetooth or Wi-Fi) for processing. This requires setting up APIs for data transmission and creating cloud-based AI models. 

7. Integrating User Interface 

Smartwatch Apps: Use UI frameworks like SwiftUI (for iOS) or Jetpack Compose (for Android) to display AI insights. 

Feedback and Interaction: Depending on the application, give the user real-time feedback (e.g., "You're walking briskly, keep going!") or notifications for specific health metrics (e.g., "Your heart rate is high, take a break"). 

8. Testing and Optimization 

Test your wearable AI application under real-life conditions to ensure it responds well to various user behaviors and sensor inputs. 

Optimize power consumption, especially for battery-powered wearables. 

Ensure that AI computations do not overburden the device's processor or memory. 

9. Security and Privacy 

Wearable devices handle sensitive personal data (health data, location, etc.), so it’s critical to ensure strong encryption for data storage and transmission. 

Implement secure authentication methods, like two-factor authentication for cloud-based services. 

Comply with privacy regulations like GDPR or HIPAA. 

10. Continuous Improvement 

Continuously gather more data and retrain your models to improve accuracy. 

Collect user feedback to refine the AI’s predictive abilities and response. 

By combining hardware with AI models, you can create a powerful wearable device that offers personalized, intelligent experiences to users. 

Example Code Snippet (Activity Recognition with Python) 

For custom hardware (e.g., Arduino with accelerometer): 

import numpy as np 

from sklearn.svm import SVC 

# Collect and preprocess sensor data (e.g., accelerometer) 

X_train = np.array([...])  # training data (sensor values) 

y_train = np.array([...])  # corresponding activity labels 

# Train a simple classifier 

clf = SVC(kernel='linear') 

clf.fit(X_train, y_train) 

# Once trained, predict activity based on new sensor data 

X_test = np.array([...])  # new data 

activity = clf.predict(X_test) 

print(f"Predicted activity: {activity}") 

Challenges and Considerations 

Data Privacy: The sensitive nature of health and biometric data requires stringent security measures and transparent policies. 

Battery Life: Advanced AI processing demands significant power, pushing the need for innovations in battery technology. 

Accuracy and Bias: AI models must be rigorously tested to ensure unbiased and precise outputs, particularly in healthcare applications. 

Future Outlook 

The next generation of healthcare wearables powered by AI is no longer a distant vision; it's on the horizon—and it’s going to change the way we approach healthcare app development forever. The convergence of AI and wearables is poised to redefine how humans interact with technology, transforming them into indispensable tools for health, productivity, and well-being. As technology advances, the integration of wearables with AI will likely expand into augmented reality (AR), virtual reality (VR), and neural interfaces, unlocking unprecedented possibilities. 

[svsembedded]

IOT based Underground cable fault detection using Arduino | IOT underground cable fault Detector project pdf | IoT based underground cable fault detection project report | Iot based underground cable fault detection ppt | Iot based underground cable fault detection github | Iot based underground cable fault detection free | Underground cable fault Detector project report | IoT based underground cable fault detection IEEE paper.***********************************************************If You Want To Purchase the Full Working Project KITMail Us: svsembedded@gmail.comTitle Name Along With You-Tube Video LinkWe are Located at Telangana, Hyderabad, Boduppal. Project Changes also Made according to Student Requirementshttp://svsembedded.com/                  https://www.svskits.in/ http://svsembedded.in/                  http://www.svskit.com/M1: 91 9491535690                  M2: 91 7842358459 We Will Send Working Model Project KIT through DTDC / DHL / Blue Dart / First Flight Courier ServiceWe Will Provide Project Soft Data through Google Drive1. Project Abstract / Synopsis 2. Project Related Datasheets of Each Component3. Project Sample Report / Documentation4. Project Kit Circuit / Schematic Diagram 5. Project Kit Working Software Code6. Project Related Software Compilers7. Project Related Sample PPT’s8. Project Kit Photos9. Project Kit Working Video linksLatest Projects with Year Wise YouTube video Links157 Projects  https://svsembedded.com/ieee_2022.php135 Projects  https://svsembedded.com/ieee_2021.php 151 Projects  https://svsembedded.com/ieee_2020.php103 Projects  https://svsembedded.com/ieee_2019.php61 Projects    https://svsembedded.com/ieee_2018.php171 Projects  https://svsembedded.com/ieee_2017.php170 Projects  https://svsembedded.com/ieee_2016.php67 Projects    https://svsembedded.com/ieee_2015.php55 Projects    https://svsembedded.com/ieee_2014.php43 Projects    https://svsembedded.com/ieee_2013.php1100 Projects https://www.svskit.com/2022/02/900-pr...***********************************************************2. Underground Cable Fault Distance Locator | Projects for EEE | Edgefx,3. Arduino based Underground Cable Fault Detector - Edgefx,4. Arduino based Underground Cable Fault Detection - Efxkits,5. arduino based underground cable fault detection,6. Arduino based Underground Cable Fault Detection The objective of,7. Arduino GPS/GSM Tracker,8. IOT Underground Cable Fault Detector Project | NevonProjects,9. Underground Cable Fault Distance Conveyed Over GSM - IOSR,10. underground cable fault detection using arduino board - Ridge Vids,11. underground cable fault distance locator circuit diagram explanation,12. underground cable fault distance locator project report,13. underground cable fault distance locator project circuit diagram,14. underground cable fault distance locator using arduino,15. advantages and disadvantages of underground cable fault distance locator,16. underground cable fault detection pdf,17. underground cable fault distance locator ppt,18. underground cable fault detector using microcontroller pdf,19. Cable Fault Detection?,20. Cable Fault Location HT / LT - All India Service 365 Days?,21. Arduino based Underground Cable Fault Detection - Scoop.it,22. underground cable fault location using aruino,gsm

[srqrobotic]

SRQ Robotics: Pioneering Advanced Embedded Systems and IoT Solutions

In an era where technology is rapidly evolving, SRQ Robotics emerges as a leader in Embedded Systems Development and IoT Technologies. Specializing in IoT solutions and algorithm development, SRQ Robotics is setting new benchmarks in the tech industry.

At the heart of SRQ Robotics' innovation lies a diverse range of microcontrollers, including ESP32, NRF52, Arduino, STM32, and PSoC6, forming the foundation of their state-of-the-art solutions. Their expertise extends to developing advanced IoT technologies with capabilities in wireless communication and seamless website & dashboard integrations, revolutionizing interconnected systems.

SRQ Robotics showcases exceptional skill in sensor technology and communication systems, utilizing a wide array of sensors such as IMUs, Accelerometers, Gyroscopes, BMS, Ultrasonic Sensors, ToF sensors, GPS, Encoders, Digital Pressure Sensors, and Temperature Sensors. Their proficiency in custom library development in Arduino, C++, C, and Python ensures efficient and harmonious system integration.

The company's excellence in WiFi, Bluetooth, and BLE systems is marked by custom data packet structures, emphasizing speedy and reliable communication. This meticulous attention to communication protocols underscores their commitment to performance and reliability in the realm of Embedded Systems and IoT Technologies.

SRQ Robotics' prowess in digital signal processing is evident in their implementation of advanced algorithms for signal refinement and data extraction. Their noise filtering algorithms guarantee the reliability and accuracy of their systems.

Offering end-to-end services, SRQ Robotics excels from electronic component selection and circuit schematic designing to PCB designing, prototyping, manufacturing, and rigorous testing and debugging. Their dedication to quality extends to precise firmware implementation, ensuring flawless project realization.

Their diverse project portfolio spans remote patient monitoring systems, innovative fitness trackers, smart agriculture management systems, advanced drone flight controllers, and industrial machine controller circuits. Each project reflects their holistic approach and commitment to excellence.

SRQ Robotics is not just an organization; it's a beacon of innovation in the tech world, redefining industry standards and leading the way in Embedded Systems and IoT Technologies.

For more details please visit: - https://www.srqrobotics.com/

Contact Info:

SRQ Robotics

Email:  info@srqrobotics.com

Phone No.: +1 (737) 710-1504

[chaerulanam1412]

Tutorial Arduino Real Time Clock GPS Neo 6M Sesuai Timezone

Tutorial Arduino Real Time Clock GPS Neo 6M Sesuai Timezone

Bawaan waktu dari GPS Neo 6M tidak sama dengan waktu yang ada di indonesia, dan itu artinya GPS Neo 6M tidak menggunakan timezone jakarta. Pada artikel ini akan dibahas cara mudah menggunakan RTC GPS Neo 6M sesuai Zona Waktu Indonesia. Tutorial Arduino GPS Neo 6M, Tutorial ESP32 GPS Modul, Program ESP8266 NodeMCU GPS Neo 6M Perbedaan waktu bawaan GPS dengan waktu yang sebenarnya di Indonesia…

[wacphotography]

The Elecrow SIM800C GPRS/GSM Shield for Arduino provides you a way to use the GSM network to receive data from a remote location, and it is compatible with all boards which have the same form factor (and pinout) as a standard Arduino Board.

This shield can also be applied to DIY phones for calling, receiving and sending messages, making GPS tracker or other applications like Smart home etc.

The Elecrow SIM800C GPRS / GSM Shield delivers GSM / GPRS 850 / 900 / 1800 / 1900 MHz signals for Audio, SMS and GPRS Service. Also, it runs at a low power consumption of about 0.6mA in sleep mode but acts compliant to GSM phase 2/2+: Class 4 (2 W @ 850 / 900 MHz), Class 1 (1 W @ 1800 / 1900MHz) with a two-in-one headset jack.

[friendtechbd]

GPS location tracker by using NEO6M

The Neo-6M GPS module is a popular GPS module that can be used to track location. You can interface it with a microcontroller like Arduino and write a program to track and store the GPS data. The GPS module provides data in NMEA format, which you can parse to extract relevant information such as latitude, longitude, altitude, speed, etc. This information can then be displayed on an OLED display,…

[svsembedded]

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[sojust]

Traccar log file location

TRACCAR LOG FILE LOCATION HOW TO

TRACCAR LOG FILE LOCATION WINDOWS

Always choose SD card as a storage ( #define STORAGE STORAGE_SD), since internal SPIFFS memory is very small and will cyclically rewrite itself. The data gets immediately written to file storage as CSV files (but flushed incrementally with each 1 KiB, equal to approximately 6 records). Device gathers data every X milliseconds (see the DATA_INTERVAL_TABLE parameter).It has 2 types of requests, the first sends only events and alarms (without location) and the other sends only key-value data payload (location, ODB data, etc.).How does Freematics internally work? (tracking logic of firmware_v5/telelogger.ino sketch)

TRACCAR LOG FILE LOCATION HOW TO

Ways to circumvent it: A) make the requests to a regular server, that redirects/proxies it to the HTTPS server or B) use packet mirroring via WiFi router (any ideas how to do it?, does this work?). I tried using WiFiClientSecure library, but it didn't compile. As far as I understood, there is no support for HTTPS: I don't think it is possible due to the size and complexity of the SSL Library, because the Arduino would most likely be underpowered.Another approach is to use OBD port extender to put the tracker higher with access to sky. You can use an external GPS receiver (costs around $10), but that is more suitable to be used with model A which has no internal GPS. Due to the antenna being in the enclosure, sometimes the location of the OBD port may prevent the antenna from getting a good GPS signal from the sky. ONE+ Model B (as well as Traccar edition) has an internal GPS receiver.It means that if a theif cuts off the device, Freematics would not be able to send the SOS signal to the server. Works only when connected to USB (3.7V), OBD-II (12V), or SAE J1939 (24V). Doesn't work at all without external power, has no battery.

TRACCAR LOG FILE LOCATION WINDOWS

If you want to switch to a different WiFi or mobile operator - you need to open your bloody Windows and recompile everything :)

Currently, Freematics cannot switch between WiFi and SIM depending on connectivity.

What are the pitfalls and hardware drawbacks of Freematics? Both are open-source, thanks to which I was able to improve both and their cooperation. In this article I listed some common problems I encountered when I tried to use Freematics OBD-reader together with traccar device-tracking server.

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[make2explore]

Wow!! this looks awesome. Youtuber MakerMoekoe built this GPS tracker with ESP32 😍👍👏 #Arduino #ESP32 #IoT #RaspberryPi #maker

Know More - https://youtu.be/jASQQFm4NNM

[loadingcoaching611]

Timekeeping Port Devices Driver Download For Windows

The CH340 chip is used by a number of Arduino compatible boards to provide USB connectivity, you may need to install a driver, don’t panic, it’s easier than falling off a log, and much less painful.

Windows

(Manufacturer’s Chinese Info Link)

In the Arduino IDE when the CH340 is connected you will see a COM Port in the Tools Serial Port menu, the COM number for your device may vary depending on your system. Older Windows Driver Version and Instructions. Download the Windows CH340 Driver; Unzip the folder. If you are running a 64Bit Windows: – run the SETUP64.EXE installer. NI-VISA is an NI instrument driver that is an implementation of the Virtual Instrument Software Architecture (VISA) I/O standard. VISA is a standard for configuring, programming, and troubleshooting instrumentation systems comprising GPIB, VXI, PXI, serial (RS232/RS485), Ethernet/LXI, and/or USB interfaces. Select Update Driver. If Windows doesn't find a new driver, you can try looking for one on the device manufacturer's website and follow their instructions. Reinstall the device driver. In the search box on the taskbar, enter device manager, then select Device Manager. Right-click (or press and hold) the name of the device, and select Uninstall.

Provide an INF file that specifies the Ports device setup class and the Serial function driver as the service for the port. To configure a serial port as COM port, comply with the requirements that are defined in Configuration of COM Ports.

Download Xiaomi USB Driver For Windows PC: Below is the list of various Xiaomi devices. Just find your device, and there is a download link of the driver next to every model. You can use CTRL + F to search for your device. Xiaomi Redmi Note Series USB Drivers.

Download the Windows CH340 Driver

Unzip the file

Run the installer which you unzipped

In the Arduino IDE when the CH340 is connected you will see a COM Port in the Tools > Serial Port menu, the COM number for your device may vary depending on your system.

Older Windows Driver Version and Instructions

Download the Windows CH340 Driver

Unzip the folder.

If you are running a 64Bit Windows: – run the SETUP_64.EXE installer.

If you are running a 32Bit Windows: – run the SETUP_32.EXE installer.

If you don’t know, try the 64 bit and if it doesn’t work, the 32 bit.

In the Arduino IDE when the CH340 is connected you will see a COM Port in the Tools > Serial Port menu, the COM number for your device may vary depending on your system.

Macintosh

(Manufacturer’s Chinese Info Link)

The following github has up to day pkg files for 1.3, 1.4 and 1.5 at time of writing, thanks to Joshua Wallis for bringing this to my attention…

Direct Download Links (from the github repo above):

See the github link above for installation instructions if you need them.

Timekeeping Port Devices Driver Download For Windows Xp

Previous macinstosh downloads if the above doesn’t work for you…

(V1.3) Download the CH340 Macintosh Signed Driver for Mavericks (10.9), Yosemite (10.10) and El Capitan (10.11) and Sierra (10.12)

Inside the zip file you will find a PDF and a “pkg” file, short version, double click the pkg file, the PDF has some extra information.

OSX Sierra (10.12) Note

A kindly user, Maarten Segers reports

FYI, the driver documented here WILL crash on OSX Sierra.

Make sure to use this one instead: https://github.com/MPParsley/ch340g-ch34g-ch34x-mac-os-x-driver

I can personally not test on MacOS and can not vouch for the above drivers at github, but there you go.

See uninstalling information at the bottom of the page if the driver causes problems for you.

Here is an older version of the Mac driver, NOT FOR 10.12 Sierra

(V1.0) Download the CH340 Macintosh Signed Driver for Mavericks (10.9), Yosemite (10.10) and El Capitan (10.11)

Linux

(Manufacturer’s Chinese Info Link)

Drivers are almost certainly built into your Linux kernel already and it will probably just work as soon as you plug it in. If not you can download the Linux CH340 Driver (but I’d recommend just upgrading your Linux install so that you get the “built in” one).

Uninstalling From Macinstosh

A couple of Mac users have said “the driver crashes my mac Sierra how do I uninstall”.

Firstly regards the crash make sure you installed the 1.3 version of the driver, not the old one. You could download it directly from the Manufacturers Website in case they have issued an update since I wrote this page.

Secondly a quick google search reveals that this is how you uninstall:

Open a terminal and type: cd /Library/Extensions/

Verify that the .kext file is present: ls | grep usbserial.kext

Output should be: usbserial.kext

Then type: sudo rm -R usbserial.kext

Verify that the .kext file has been removed: ls | grep usbserial.kext

Output should be empty.

After you should remove the files stored in receipts folder: cd /private/var/db/receipts/

Find the enties: ls | grep usbserial*

Output should be: codebender.cc.ch34xinstaller.usbserial.pkg.bom codebender.cc.ch34xinstaller.usbserial.pkg.plist

Remove each one of the files of the above list: sudo rm -r filename`

Shadow Tracker® Time software is the perfect solution for time sheet management of mobile and office employees. Mobile employees, such as drivers, can time in and out on the Shadow Tracker® Time Android or iPhone Apps, and their location at the time punch is recorded for verification. For office employees, ATTI offers an in-office time tracking system which works in a LAN or Wi-Fi configuration. This component is optional, and integrates office employee time records with those recorded on the Shadow Tracker® Time App so your time sheets are housed in one convenient location.

Time Tracking Device

ATTI’s mobile time tracking device allows for added security and verification when monitoring your employees. The Shadow Tracker® Live gives business owners the opportunity verify GPS locations of remote time punches. In addition, the biometric keypad device has three punch options: keypad, fingerprint, or RDIF Card. Using a GPS verified mobile time punching system benefits business owners by eliminating employee time theft, discouraging poor attendance habits, and therefore reducing labor costs. Our mobile app also gives you access to your employees’ reports at all times.

History Of Timekeeping Devices

Benefits of Driver Time Tracking Devices

Timekeeping Port Devices Driver Download For Windows 7

Timekeeping Port Devices Driver Download For Windows 8.1

Eliminates buddy punching, preventing employee time theft

Automatically calculates employee hours, eliminating costly errors and reducing preparation time

Tracks employee arrival & departure as they Job In/Out using different keypads at different locations

Comprehensive reporting helps control your company’s largest expense

Track off-site employee time in locations with mobile app

Accommodates weekly, bi-weekly, semi-monthly and monthly pay periods

Automatic data polling and time synchronization

Key Features

Location based time In/Out – know where your offsite employees were when they timed in

THREE punch options: Keypad, Fingerprint, or ID Card

Automatic data polling and time synchronization

Standard management reports

[vehiclehunter117]

How To Get Flash For Chrome Mac

If you come across a file that ends with the .swf extension (.swf), you will know that you are dealing with an SWF file. You might have a problem accessing it and you might be wondering ‘how to open an SWF file’. As a matter of fact, the swf file needs the Adobe Flash player. Only then you can open the file. SWF is an abbreviation for Small Web Format.

Chrome Download For Mac Ios. To allow Flash, you must click that dropdown menu and select 'Allow' instead: Now if you go check your general Flash settings again in Chrome, you'll see that site on your 'allowed' list: Flash Player Download Mac Chrome. Go back to the site and reload the page. All that Flash content will be flashing away. How to enable Flash in Chrome. The Flash Player is always integrated in Google Chrome, but is deactivated by default. With a few clicks, the Flash Player becomes active again. Open a new tab and enter the command chrome: // settings / content / flash in the address bar above. If you confirm with the Enter key, you will get to the flash settings. In the meantime, though, since some legacy sites still run on Flash, you may want to know how to keep it updated in Google Chrome. Here's how to do it on a Mac or PC. Check out the products.

It also is referred to as ShockWave Flash. That is because the files are created using Adobe Flash software. .swf files can contain audio, video, and animations. They are all compressed in such a way that sharing them online becomes easier. Hence, the name, Small Web Format.

METHOD A: How to open SWF file on Chrome

Install Adobe Flash Player

Chrome Download For Mac

First of all, you will have to install the Adobe Flash Player. After installing, make sure if your chrome browser is installed with Adobe Flash or not. In case it is not, install it. You can do that by following this link: https://get.adobe.com/flashplayer/

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After the installation, you will have to enable Adobe Flash player in chrome. This can be done by copying this link: chrome://settings/content to Chrome’s address bar. Hit enter so that you can be redirected to Chrome content settings page.

Navigate to the “Flash” option and click on it. Turn on “Ask first (Recommendation)”.

Now, simply open your SWF file. This is very simple. All you have to do is Right-Click on the file you want to open. Click on “Open with”. Then, select Chrome. This way, your SWF file will be opened with Chrome browser.

NOTE: You can also have a default opener for all of your SWF files. Dash button hack mac download.

Go to Properties > Open With > Change > select Chrome

Apple Safari version 14, released for macOS in September 2020, will no longer load Adobe Flash Player or play Flash content. Please visit Apple’s Safari support for more information. For Mac OS X 10.11, macOS 10.12, and later Open Safari, and choose Safari Preferences. Flash player for safari mac sierra.

How To Get Google Chrome To Open

METHOD B: How to Play SWF on Mac

Here lies a fact: SWF files cannot be opened with Mac. But you still can do that by using a third-party player. Os x yosemite download. For that, you will have to first download the third-party player.

Adobe Flash

Part 1: Downloading and Installing

You have to begin by downloading a third-party player. You can use the Elmedia player. Download and Install Elmedia Player.

Downloading Elmedia player is pretty easy. All you have to do is visit the official website for Elmedia Player (https://mac.eltima.com/swf-player.html).

You will find a blue-colored download button. And, we are done with the download part.

Now, go to Downloads. There, you will find an “elmediaplayer.dmg” file. Simply click on it to install it.

After installation, Double-Click on the Elmedia Player app to open it.

Part 2: How to open a file on it

Drag your file. Use shortcut keys Command + o to open the SWF file.

On your SWF file, click on “Open with Elmedia Player”.

You can follow the above-mentioned methods to open SWF files with Chrome and mac. Mac for kindle page numbers. If you still cannot do it, your file must be corrupted. Try again with an uncorrupt file.

[real-circle]

Plan for mini project

larger project

i want to make something to attach to my bike, to track some aspect of a journey.

maybe:

using an accelerometer or gps tracker to track a journey

sound? tracking noise level

speed?

bumpiness?

maybe i could track a couple of these things, and combine with gps data (using my phone?) to present a graph of a map... sort of like google maps traffic plotting.

choosing micro controller:

Arduino Leonardo

Raspberry Pi Pico

Adafruit CLUE

Adafruit Metro M4

Adafruit PyGamer

Teensy 4.1

Adafruit Feather RP2040

Adafruit Circuit Playground Express

BBC Micro:bit

Matrix Portal M4

Qualitative route mapping!

Tracking noise level and bumpiness (elevation?) over a route (gps tracking), afterwards plotting this route visually (similar to google maps traffic level colour coordinated maps)

During a journey i will need to track and store sound level and movement of some kind.. and possibly gps location. or record location on phone or smthn in a way that i could combine it with the other things.

needs:

gps sensor

bumpiness sensor

noise sensor

mapping application? (probably something that i can draw on top of?? idk

[planetarduino]

DIY GPS tracker helps you locate your stolen bike

Bicycle theft is, unfortunately, a very common problem. Most bicycle locks are easy to overcome, which makes bike theft a crime of opportunity. Recovering a stolen one is usually improbable, but this DIY GPS tracker could provide the help that you need.

The GPS tracker, designed by Johan, is like Lojack for your bicycle. If the device detects that the bike has moved, it will send a text message and start tracking the GPS location. It will periodically send an update with the current location, so you can track down your stolen bike (with the help of the police).

The key component in this device is a MKR GSM 1400, which is a microcontroller development board that is capable of sending SMS messages over GSM cellular networks. It uses an ADXL345 three-axis accelerometer to sense when the bike moves. A MKR GPS Shield monitors the unit’s real-time physical location. Power comes from a 4400mAh lipo battery through a SparkFun LiPo Charger Plus board.

Those components are housed within a plastic case that mounts to the bike frame. Johan placed that case underneath his bike lock holder, so it isn’t obvious to would-be thieves. That helps to avoid the possibility of the thief removing the tracker before Johan can recover the bike. If you want to build your own tracker, Johan provides all the schematics and code that you need to tackle the project.

The post DIY GPS tracker helps you locate your stolen bike appeared first on Arduino Blog.

DIY GPS tracker helps you locate your stolen bike was originally published on PlanetArduino

[projetsdiy]

M5Stack Atomic GPS. Tracker avec TinyGPS++, export GPX sur carte SD, Visualisation sur Google Maps ou VSCode

Projet de tracker GPS avec le module Atomic #GPS #ESP32 de @M5Stack. Comment exporter une #randonnée au format #GPX et visualiser sur Google Maps ou #VSCode. Matériel utilisé M5Atom Lite + module batterie LiPo TailBat

Le module GPS pour M5Stack Atom est un mini boitier qui combine un module GPS u-box UBX-M8030-KT et un mini module M5Atom Lite ESP32-PICO-D4 de M5Stack. Pour ce projet, nous allons développer un tracker GPS à l’aide de la librairie Arduino TinyGPS++ qui nous servira à récupérer les données de localisation, le nombre de satellite, l’altitude et la précision de positionnement (HDOP). Les données…