Acc.elerometer vs Lookat Simbis

See how your device moves with Acc.elerometer. View live sensor readings, record an experiment and examine the results on your iPhone or iPad. Capture motion on Apple Watch and send recordings to your paired iPhone for charts and CSV export. EXPLORE SIX MEASUREMENTS - Acceleration, including gravity, in G - User acceleration, with gravity removed, in G - Rotation rate around three axes in rad/s - Magnetic field in microteslas - Device attitude: roll, pitch and yaw in radians - Gravity along each axis in G View individual axes and vector magnitude where supported. Follow changing values and review recorded measurements to explore movement, rotation and orientation. RECORD AND REVIEW Choose the measurements you want to capture, then start and stop a recording. On iPhone and iPad, set the measurement interval from 0.1 to 1 second. Open saved recordings to inspect charts, switch between individual axes and vector magnitude for supported measurements, and identify gaps in the data. EXPORT YOUR DATA Export each measurement from a recording as a CSV file with timestamps and axis values. Choose Unix time, spreadsheet serial dates or formatted date strings for your analysis workflow. CAPTURE MOTION ON APPLE WATCH View sensor readings and record selected measurements on your wrist. Send saved recordings to the paired iPhone and follow transfer progress. Add watch face complications to see saved sensor maxima or recording status, and open the app to start a recording from the recording widget. FOR EXPERIMENTS AND EVERYDAY CURIOSITY Explore device motion for a physics demonstration, a development project or your own experiments. Measurements and recordings are stored on your devices. No account is required. Available readings and actual sampling intervals depend on the device and its sensors. Apple Watch recording duration is subject to watchOS background runtime limits. Watch complications show saved values from the app, rather than a continuous live sensor feed.

Lookat is an innovative mobile application designed to combat vehicle theft through citizen collaboration and real-time technology. Its main goal is to create a network of vigilant users who can help locate stolen vehicles quickly and efficiently, significantly increasing the chances of recovery. Key Features: • Vehicle Registration: Users can easily register their vehicle license plates within the application. This information is stored securely and is only used if the owner reports the vehicle as stolen. • Theft Reporting: In the unfortunate event of a theft, the owner can instantly mark their vehicle as "stolen" within the app. This activates an alert to the entire Lookat community. • Community Detection ("Detect"): This is the cornerstone of Lookat. Other app users, by activating the "Detect" function, can scan or view license plates around them. If the system identifies a license plate that has been reported as stolen, an alert is generated. • Instant Push Notifications: When a stolen vehicle is detected by another user, the original owner immediately receives a push notification on their mobile phone, indicating that their vehicle has been sighted. This speed is crucial for coordinating with authorities. • Reported Vehicles Map ("Map"): The application includes an interactive map that shows the approximate location of the latest sightings of vehicles reported as stolen by the community. This provides an overview of areas with higher activity and helps users be more alert.