Tag: Raspberry Pi

IOT BASED DOOR UNLOCK USING DIGITAL IMAGE PROCESSING | ijirt.org

IOT BASED DOOR UNLOCK USING DIGITAL IMAGE PROCESSING | ijirt.org

Utilizing the area of Internet of Things (IoT), Digital Image Processing and Android Platform, the proposed framework gives a system to secure and remotely monitor homes. The proposed framework comprises of three noteworthy modules specifically the IoT based Hardware components, the Server and the Android application. A picture of an individual is captured by the camera attached to the Raspberry Pi. The captured picture is then processed by utilizing Python. A warning is popped up on the user’s phone whenever the camera detects an individual. This permits the client to acknowledge or dismiss the individual on the entryway.

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IoT BASED FACE MIRROR | ijirt.org

IoT BASED FACE MIRROR | ijirt.org

The IoT based face reflect give both mirror and PC pushed information organizations to its customers. It can connect with the web and take data from the web. brilliant mirror system joins the atmosphere information, time and zone information, late improvement information, customer information using Raspberry Pi 3 microcontroller card.. It is inspected the probability of using close field correspondence (NFC), commonly associated for passing on two region devices. Here we propose an inventive android based notice show structure that empowers the customer to indicate sees without creating them in physically.
DEAF AND BLIND PEOPLE: DOORBELL ALERT SYSTEM AND HEALTH MONITORING | ijirt.org volume 5 issue 11, page 12

DEAF AND BLIND PEOPLE: DOORBELL ALERT SYSTEM AND HEALTH MONITORING | ijirt.org volume 5 issue 11, page 12

The people who are Deaf and blind people face everyday challenges in identifying the occurrence of household sounds like door bell. Designing and implementing a low cost stand-alone device for deaf people for notifying the doorbell ringing who live alone in their house. Face image will be capture face will be recognize if the person is known is or unknown, and alert using vibration pattern. Health monitoring system is provided which will track the heartbeats, temperature and location of a person. Proposes a low cost, reliable and efficient system to alert the deaf or hearing im-paired person consisting of two modules- a transmitter installed at the door and another is the receiver, a wearable device. In this project camera which is situated at the door will be continuously on.before that there will be the database of raspberry Pi in which images of some known persons or family members are stored. when anyone arrives at the door camera will detect the face of that person, compare it with the images stored in the database and detect if the person is known or unknown,as the face detected signal transmitted from transmitter to receiver and vibrator will vibrate according to defined pattern(5 sec for known person,3 times per second for unknown person). This system provides various vibration pattern which will help blind people to recognize known or unknown person. Also system track the location of person by using GSM/ESP8266.The System contain Health monitoring, it will check heartbeats and temperature of person using thinkview.

Intelligent Traffic Control System using Raspberry pi

Intelligent Traffic Control System using Raspberry pi

#traffic #raspberrypi

Innovative article written by Malarvizhi A, Dr. D. Janaki Sathya

The traffic control system is the serious hazards in almost every country this is due to rapid increases in number of vehicle. In order to reduces the complexity and reduces the time, the existing traffic system has to be combined with an existing technology. Emergency services are organization which ensure public safety by addressing different emergencies. They are allowed to do drive through the intersecting when traffic signal light is red, because the vehicles are not reach the destination on particular time. Crisis vehicle like rescue vehicle an ambulance and fire trucks need to achieve their goals at the most punctual. An intelligent traffic control system has been developed to overcome the traffic problem using Raspberry pi. This method helps to give quick way to the traffic system and ambulance clearance. In this system RFID and IR sensor are placed on the traffic signal used to detects the vehicle and also store the data of vehicle for future use. Based on the number of vehicles count, the information is captured by sensor and store the details. During the traffic congestion time, any emergency vehicle detects the signal that automatically change GREEN to RED and also if there is heavy number of vehicle standing on the signal and it changes the signal accordingly. Once the signal has been changed, without the knowledge of traffic police. Using Flask Web Application Technology helps to check the details of traffic changes through internet with. Creating an application using local IP address, by using this address the traffic police can able to check the changes of signal in everywhere. It helps to reduces the manpower and cost effective.

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Internet Based Monitoring & Control System for Smart Appliances using Embedded Web Server Architecture

Authors : B.Rajanna, Md.Ferjaana

The importance of embedded systems is growing continuously. With the advancements in internet technologies and Wireless Sensors Networks, such systems monitor the environment parameters namely: temperature, light Intensity co2 concentration in greenhouse. A new system is proposed from the inspiration of the above system to monitor the various parameters in the kitchen. This proposed system principally monitors and control some of the environmental parameters such as light intensity, room temperature. It also indicate and inform the usage of LPG gas when it exceeds beyond certain level to the concerned person. This proposed system can monitor the status of Appliances and send an alert SMS via GSM network automatically to a concerned authority and the status will also update in web server. If the conditions get abnormal and find a wide application areas where physical presence is not possible all the time. The Wi-Fi and Raspberry pi are used in the implementation of sensor module. This system offers a complete low cost, powerful and user friendly way of real time monitoring and control of kitchen

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