Rompi Penyedia Informasi bagi Penyandang Tunanetra Menggunakan Multisensor HC-SR04

Various electronic travel aids for people having visual impairment have been developed based on ultrasonic object detection employing the HC-SR04 ultrasonic proximity sensor. However, most of them do not consider blind spots where harmful objects cannot be detected. This study discusses the development of a vest that can detect objects in front of the blinds more widely and provide sound alert if an object in front is detected. This detector was developed based on an Arduino Uno equipped with five HC-SR04 ultrasonic sensors, and a mini DFPlayer module. In addition, blind area analysis of sensor detection is carried out to overcome objects that are not detected by similar studies. Horizontally, this travel vest sweeps objects up to 150 cm in distance with a 25o right or left angle deviation from forward direction. Vertically, object detection reaches up to 150 cm in distance with both upward and downward deviation of 30o from the vest.

Sports Ground Audience Health Monitoring System [For COVID-19] Using Smart Wireless Sensor Network

The recent spread of the COVID-19 has pushed us to a situation to reduce human contacts in crowded areas. The main objective of this work is to protect the audience from the spread of contagious and non-contagious diseases or infections by introducing automation in maintenance and management of sport stadiums. Taking some primary precautions such as social distancing, wearing masks, avoiding crowded areas, cleaning hands, and checking the temperature is very important. This work provides primary check-ups for the audience to pass through, to ensure that no symptomatic person is let inside the stadium. Social distancing is properly maintained using ultrasonic sensors placed inside the stadium, so that nobody sits over the sensor attached seats. To ensure the maintenance of audience data, tickets are being replaced with RFID tags and checking is done automatically through RFID readers. The information is stored and maintained automatically in the server through IoT.

Sensors in Autonomous Vehicles: A Survey

Research and technology in autonomous vehicles is beginning to become well recognized among computer scientists and engineers. Autonomous vehicles contain combination of GPS, LIDAR, cameras, RADAR and ultrasonic sensors (which are hardly ever included). These autonomous vehicles use no less than two sensing modalities, and usually have three or more. The goal of this research is to determine which sensor to use depending on the functionality of the autonomous vehicle and analyze the simi- larities and differences of sensor configurations (which may come from different industries too). This study summarizes sensors in four industries: personal vehicles, public transportation, smart farming, and logistics. In addition, the paper includes advantages and disadvantages of how each sensor configuration are helpful by taking into considerations the activity that has to be achieved in the autonomous vehicle. A table of results is incorporated to organize most of the sensors' availability in the market and their advantages and disadvantages. After comparing each sensor configuration, recommendations are going to be proposed for different scenarios in which some types of sensors will be more useful than others.

Analisis Data Berat Badan Dan Panjang Bayi Dengan Alat Ukur Panjang Dan Berat Badan Bayi Berbasi Arduino

Monitoring the nutritional status of infants at this time is mostly still using the manual method, by looking at anthropomeric standard books so that nutritional monitoring takes longer and is less practical. Babies need nutritional status based on age, weight, length of the baby (baby's height), and sex of the baby. To find out the nutritional condition of the baby, the author wants to develop a measurement tool for weight and length of the baby with the output data in Microsoft Excel. This study aims to design a baby's weight and length measurement tools with data output at Microsoft Excel and perform a function test. The process of detection in infants using ultrasonic sensors that serves to determine the height or length of the baby's body and load cell sensors to determine the baby's weight, then the LCD (Liquid Crystal Display) which displays the results of ultrasonic sensors and load cell sensors and Arduino Uno. The results of this study are an infant weight and height measurement tool with an arduino uno-based anthropometric index method with 2 ultrasonic sensors as height and length counters, and 1 load cell sensor as a weight calculator for infants that will later be displayed on the LCD screen.

Localization Of A Mobile Fastening Robot

<div>The goal of this research is to develop a localization system for a mobile fastening robot using a camera and ultrasonic sensors. Localization is performed by using triangulation methods on three target fastener heads. Camera calibration parameters are determined and used to obtain a corrected image on which a Circular Hough Transform algorithm is used to determine the location of the three target fastener heads relative to the camera. The distance to the fastener heads is determined using readings from two ultrasonic sensors. A Kalman Filter is developed and used to reduce the noise of the ultrasonic sensor readings. In addition to filtering, calibration techniques are used to correct the readings of the final localization system. Testing of the complete system is done using a coordinate measuring machine. </div>

Localization Of A Mobile Fastening Robot

<div>The goal of this research is to develop a localization system for a mobile fastening robot using a camera and ultrasonic sensors. Localization is performed by using triangulation methods on three target fastener heads. Camera calibration parameters are determined and used to obtain a corrected image on which a Circular Hough Transform algorithm is used to determine the location of the three target fastener heads relative to the camera. The distance to the fastener heads is determined using readings from two ultrasonic sensors. A Kalman Filter is developed and used to reduce the noise of the ultrasonic sensor readings. In addition to filtering, calibration techniques are used to correct the readings of the final localization system. Testing of the complete system is done using a coordinate measuring machine. </div>

LOCALIZATION OF A MOBILE FASTENING ROBOT

<div>The goal of this research is to develop a localization system for a mobile fastening robot using a camera and ultrasonic sensors. Localization is performed by using triangulation methods on three target fastener heads. Camera calibration parameters are determined and used to obtain a corrected image on which a Circular Hough Transform algorithm is used to determine the location of the three target fastener heads relative to the camera. The distance to the fastener heads is determined using readings from two ultrasonic sensors. A Kalman Filter is developed and used to reduce the noise of the ultrasonic sensor readings. In addition to filtering, calibration techniques are used to correct the readings of the final localization system. Testing of the complete system is done using a coordinate measuring machine. </div>