In this work, a novel electronic lock that can encode and decode optical signals, modulated using Morse code conventions, was developed to build a smart home security system based on the Internet of Things (IoT). There are five topics of interest in this research: (1) optical Morse code encoder; (2) optical Morse code decoder; (3) ambient light sensor circuit; (4) fuzzy controller; (5) cloud monitoring system. We take advantage of the light-emitting components as the encoder, which are readily available in hand-held mobile devices (e.g., Smart phones) and photoresistors and a microcontroller as the decoder. By Wi-Fi transferring, even without a personal computer, real-time information about this lock can be uploaded to the cloud service platform, and helps users to ensure home safety on the remote monitoring system. By using the ambient light sensor and fuzzy controller in this novel optical Morse code-based electronic lock, experimental results show that the reliability of this system is much improved from 65% to 100%. That means that it is highly resistant to different illumination conditions in the work environment, and therefore all functions, including coding, emitting, receiving, decoding, uploading and cloud monitoring, can work well. Furthermore, besides the convenience and cost reduction, by incorporating traditional keys into smart phones, as a consumer electronics, our proposed system is suitable for users of all ages because of a user-friendly operation interface.

This study was based on the Internet of Things (IoT) architecture to propose an ultrasonic Morse code electronic lock for a home access control and safety system. Audio components of a smartphone were employed for ultrasonic Morse coding. Once the password of the receiver is confirmed to be correct through a microphone and micro-controller decoding, the details about the unlocking personnel and unlocking actions are uploaded to cloud server via Wi-Fi. In addition, because noise frequency of an environment influences ultrasonic Morse code determination, this study proposed the use of Moving Average of Median Filter to process microphone sound signals so that the unlocking device is free from environmental noise influences. This study consists of four sections: 1. Ultrasonic Morse code generator; 2. Ultrasonic Morse code decoder; 3. Digital filter; and 4. MediaTek Cloud Sandbox integrated cloud monitoring system. The experimental results indicated that the proposed electronic lock can remain fully functional in a noisy environment, including coding, transmitting, receiving, filtering, decoding, uploading, and remote monitoring processes. Moreover, the operating interface is simple and user friendly, making it applicable to users of varying ages.

In this paper, under the Things (Internet of Thing, IoT) architecture, proposed an application in LED lamp (lamp) brightness automatic modules, and implements complex fuzzy controller a systematic low-cost single-chip in on the use of ambient light illuminance sensor as the fuzzy controller (Fuzzy controller) of the inputs and outputs are pulse width modulation (Power width modulation, PWM), to control the brightness of the LED lamp; when the ambient light through when change over time, the brightness of LED lights will change as to achieve the illumination of the environment in the region are the standard average, reduce the power consumption of LED lamps. Based on the monitoring client is not required by PC (PC), you can remotely control LED lights can also be via Wi-Fi LED lamp energy consumption as well as the ambient light information uploaded to the cloud, the last displayed by many experiments, in under the circumstances illumination indoor environment is maintained, the proposed control system allows LED lights to reduce the power consumption by about 40%, because of the development of low-end product, and high stability, very suitable for application in all places lighting system.