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Lion Stern System Ltd https://lionsternsystem.com Technology Company Tue, 09 Jun 2020 14:01:48 +0000 en-US hourly 1 https://wordpress.org/?v=6.1.7 https://lionsternsystem.com/wp-content/uploads/2019/02/cropped-logo-1-e1549529998559-32x32.png Lion Stern System Ltd https://lionsternsystem.com 32 32 Automatic Hand Washing Machine with Soap Dispenser using Arduino https://lionsternsystem.com/?p=7565 https://lionsternsystem.com/?p=7565#comments Tue, 09 Jun 2020 13:50:13 +0000 https://lionsternsystem.com/?p=7565 This is an automatic water and soap dispenser that uses simple components. The system used two water tanks one for the water and the other one for the liquid soap, both the two tanks connected to a single tap using T-Junction with non return valve. Each tank connected to water pump machine to supply it contents to the tap. The system also used Ultrasonic sensor for the detection of Hands at a specified distance.

Working Principle

When hand detected the soap tank supply the liquide soap and stop, you can]]> This is an automatic water and soap dispenser that uses simple components. The system used two water tanks one for the water and the other one for the liquid soap, both the two tanks connected to a single tap using T-Junction with non return valve. Each tank connected to water pump machine to supply it contents to the tap. The system also used Ultrasonic sensor for the detection of Hands at a specified distance.

Working Principle

When hand detected the soap tank supply the liquide soap and stop, you can then remove and squeezing hands, when you take it back and detected by the sensor again the water tank would then supply water for you to wash your hand. The water stoped immediately as you removed your hands.

Components

1- Arduino Uno

2- Two Water Pump (Wipper Pump)

3- One Ultrasonic Sensor

4- Two Relay

You can Download the code and proteus simulation here for free:

Knowbab Download Link

Lion Stern System Download Link

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GSM Based Smart Digital Meter approach to Detect Byepass for Energy Theft https://lionsternsystem.com/?p=6781 https://lionsternsystem.com/?p=6781#respond Wed, 12 Feb 2020 15:38:48 +0000 https://lionsternsystem.com/?p=6781 The research project aimed to demonstrate the design of advance energy prepaid meter with newly added features. We constructed the circuit using locally available components, both the current and voltage sensor section ware built and tested successfully for the measurement.

The meter measures the watt per hour and covert to killo watt per hour to monitor the consumption of the energy and automatically deduct from the recharged unit, when unit exusted supply terminated until the meter recharge again. The recharge could be via sms of manually enter by keypad,]]> The research project aimed to demonstrate the design of advance energy prepaid meter with newly added features. We constructed the circuit using locally available components, both the current and voltage sensor section ware built and tested successfully for the measurement.

The meter measures the watt per hour and covert to killo watt per hour to monitor the consumption of the energy and automatically deduct from the recharged unit, when unit exusted supply terminated until the meter recharge again. The recharge could be via sms of manually enter by keypad, when user intends to tamper the meter, the system cutoff the supply automatically until reactivated by the authority, even when there is no electricity the meter sense attempt of tamper and shutdown means of supply to load when is connected to the supply. The meter design to report situation to authority via sms and only authority can activate via sms.

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GPS Based Autonomous Vehicle Navigation https://lionsternsystem.com/?p=5815 https://lionsternsystem.com/?p=5815#respond Mon, 09 Dec 2019 10:02:23 +0000 https://lionsternsystem.com/?p=5815 This project presents a vehicle control system capable of learning to navigate autonomously. Our approach is based on image processing, road and navigable area identification, template matching classification for navigation control, and trajectory selection based on GPS way-points. The vehicle follows a trajectory defined by GPS points avoiding obstacles using a single monocular camera. The images obtained from the camera are classified into navigable and non-navigable regions of the environment using neural networks that control the steering and velocity of the vehicle.]]> This project presents a vehicle control system capable of learning to navigate autonomously. Our approach is based on image processing, road and navigable area identification, template matching classification for navigation control, and trajectory selection based on GPS way-points. The vehicle follows a trajectory defined by GPS points avoiding obstacles using a single monocular camera. The images obtained from the camera are classified into navigable and non-navigable regions of the environment using neural networks that control the steering and velocity of the vehicle. Several experimental tests have been carried out under different environmental conditions to evaluate the proposed techniques.

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