Projects we’ve completed in the past
A Device that attached to the wall via electricity plug, Able to sense and detect when elderly fallen on the ground without the need to wear any sensors/devices with very high accuracy with no false alarm.
Rail Tone is a device that is attached to the railway that is able to detect danger and risks that happen to railway in real time, we use the most advance technology that able to give high accuracy measurement and alerts with no false alarms..
Smart App on iPhone that able to read and scan Omani currency in real time and works totally offline to keep blind people safe and secure in public places such as restaurants, taxis etc.
Smart App that able to detect and analysis snoring for sleepers and notify them in gentle vibration through a smartwatch to shift the wrong position of sleeping without waking up the sleepers!
App that able to hear and detect the sound of the electrical toothbrush to track the timing for the brushing, the app uses the sound detection algorithm.
Smart App that able to detect the snoring and change the bed position, the app works via Bluetooth to control the bed motors to give the correct position of the head of the bed to stop the snoring.
A smart app on both IOS and Android users can book their dentist appointment with a single click, the app has the capability to cancel, change appointments
Smar App connect to baby seat rocker able to swing the seat when baby crying sound detected and when baby stops crying the seat stops swing, the app connected with the seat via Bluetooth.
UROK it’s a Digital Learning Assessment tool on a smartphone that has the ability to act as an instructor of the school for young students uses the most advanced speech recognition algorithm.
Smart insole that able to do an early diagnosis for the leg starting from the hip till the feet in real time, and these data will be streamed into the doctor to find the proper treatment needed!
Smart app that able to detect and analysis screaming from women when they are in danger and notify the family members, the app uses sound classification algorithm to detect screaming sounds.