IoT face Recognition Research Topics

IoT face Recognition Research Topics is utilized to interchange and connect the data within the devices and systems over the internet. These are widely used in many applications and it is widely used in many fields or regions. Here we give the IoT technology on the basis of a face recognition system.

  1. Define IoT

In the initial stage we first begin with the definition for IoT. It is the interrelated network of appliances, physical devices, vehicles and other items that are enclosed within the connectivity, sensors and software allowing them to interchange data and communicate with every one or with a focused framework through the internet. This network provides remote monitoring, data-driven decision-making process and automation among different fields from cities and smart homes to industrial procedures and healthcare. IoT is an interrelated system of “things” in the actual world which link to the network, run their own software, and distribute and obtain data through other servers and devices elsewhere.

  1. What is IoT?

At the next stage we look over the in-depth understanding of IoT. For the objective of interchanging and connecting the data over other systems and devices through the internet, it defines the network of physical objects which are enclosed with software, sensors and other technologies.

  1. Where IoT used?

Afterwards the in-depth understanding we converse where to employ it. It is utilized in an extensive range of applications and industries to improve data-driven decision-making, connectivity and automation. In general, the IoT is most generous in transportation, utility organizations and manufacturing which utilize sensors and the other IoT devices; and it also has scenarios for the administrators over the structure, agriculture and home automation industries, causing some administrators towards digital interchange. The IoT continues to identify applications in different industries as technology involves and the connection becomes most prevalent. The capacity to collect and examine data from interrelated devices exchanging the way that we communicate with the world and create informed decisions.

  1. Why IoT technology proposed? , Previous technology issues

Here we proposed the IoT technology to link the actual and digital worlds, permitting for more possible regions like efficiency enhancement, automation, user-experience and data-driven insights. To overcome the limitations of recent technologies and to promote a more cooperative and a creative global community, the concept of the IoT was proposed and developed. The IoT was planned to overcome some issues, involving but not restricted to the following: Complexity of Scaling, Limited Connectivity, Environmental impacts, Data Silos and Lack of remote monitoring.

  1. Algorithms / Protocols

We proposed the following methods or algorithms to overcome the previous technology issues.  The methods that we proposed are Histogram of Oriented Gradients (HOG), Galactic Swarm Optimization (GSO), Gaussian filter Technique, Spatial Temporal Interest Point (STIP), Grey Level Co-occurrence Matrix (GLCM), GSO-CNN and Deep Convolutional Neural Network (DCNN).

  1. Comparative Study / Analysis

In this research we compared various methods or algorithms to obtain the best result. The methods that we compared are as follows:

  • By employing the Gaussian Filter method for image processing, to eliminate the noise and to smoothing the image.
  • For object detection of the image process, the image segmentation is done by using the Histogram of Oriented Gradients (HOG).
  • STIP technique is incorporated to take out the features that are relevant to the facial behaviors from Facial Action Units (FAUs).
  • An enhanced face recognition technique by utilizing GSO-CNN technique that offers optimized feature vectors.
  • The GLCMs feature selection method is used to estimate and measure the texture features in the images.
  1. Simulation Results / Parameters

Our proposed technique is evaluated by using the parameters or performance metrics and it is compared with some other existing technology to obtain the best outcome. The metrics that we compared are as follows: RMSE, F1Score, MSE, Sensitivity, specificity, and some other parameters like Accuracy, Error rate, Recall and Precision with the Number of Iterations.

  1. Dataset LINKS / Important URL

The following are some important links that are used to go through the explanation or the content that are relevant to this proposed technology.

  1. IoT Applications

The applications for the IoT technology are several and cross many regions and businesses. This stable connection among humans, data and machines means that it enhances, reduces and automates the processes. Sensors paired with connections and artificial intelligence, have the possibility to create some systems more effective. It breaks costs in regions that were not probable historically.

  1. Topology for IoT

Now we look over the topology to be utilized for our proposed strategy. Its topology defines the structure and arrangement of the interrelated sections and components that create the IoT system. On the basis of the needs, communication protocols, scalability and the kind of devices that contains, IoT networks have different kinds of topologies.

  1. Environment in IoT

Let’s see the environment to be employed for IoT networks; it includes all of the various applications, domains and businesses where the IoT devices are employed to enhance information gathering, productivity, automate procedures and improve decision making for the cloud-IoT users. It has the possibility to have a serious effect on different industries and surroundings.

  1. Simulation Tools

In this we utilize the succeeding software requirements to be implemented in this proposed technology. Our proposed technique is simulated by using the tool MATLAB R2020a. Then the proposed IoT network technique can be executed by using the operating system Windows Pro 10N.

Parameter Values s
No. of. IoT devices 100
Simulation time 400s
No. of. iterations 5
No.of. Epoch 8
Simulation area 300m2
IoT energy initial value 11-15J
Initial trust value 4J
Transmit node size 0.5-1MB
  1. Results

We proposed an IoT technology in this work and it overcomes several previous technology issues. The proposed technique metrics are compared with the various existing technologies and it verifies that our proposed techniques give the best findings. The proposed technique is implemented by using the operating system Windows Pro 10N.

IoT face Recognition Research Ideas

Succeeding are the research topics that are related to the IoT technology and it is utilized for the overview of IoT technique or to clarify or verify the doubts on the basis of this proposed technology.

  1. DeltaBin: An Efficient Binary Data Format for Low Power IoT Devices
  2. Research on Multi-protocol Access Method for IoT Platform Based on Microservice Container Scheduling
  3. Real-Time Performance Monitoring of a CNC Milling Machine using ROS 2 and AWS IoT Towards Industry 4.0
  4. Design of Adaptive Mobile Relay System for Passive IoT Communication Enhancement
  5. Smart IOT Based Pothole Detection and Filling System
  6. Analysis and Functioning of Smart Grid for Enhancing Energy Efficiency Using OptimizationTechniques with IoT
  7. Evaluating Security Principals and Technologies to Overcome Security Threats in IoT World
  8. IoT-QWatch: A Novel Framework to Support the Development of Quality-Aware Autonomic IoT Applications
  9. A Roadmap Toward Prospects for IoT Enabled 5G Networks
  10. (Benefits of Internet of Things (IoT) Applications in Health care – An Overview)
  11. Blockchain-Based IoT Applications, Platforms, Systems and Framework
  12. Transforming Oilseed Production with the Power of IoT: Opportunities and Challenges
  13. Revolutionizing Renewable Sources of Energy using IoT: Impact and Challenges
  14. An Evaluative Study on IoT Ecosystem for Smart Predictive Maintenance (IoT-SPM) in Manufacturing: Multiview Requirements and Data Quality
  15. Low-Profile Chip Antennas for IoT Sensors
  16. Real-Time Health Monitoring and Management: Leveraging the Power of IoT and Machine Learning
  17. Automated COVID-19 Detection Using ML & IOT
  18. Development of An Iot-Based Daylight Responsive Lighting Control & Monitoring System for Interior Environments
  19. Relating DT Framework in IOT based Heart Rate and Blood Oxygen Monitor with Automatic Data Saving
  20. Iot Based Remote Operated Smart Irrigation Systemfor Enhancing The Crop Yield
  21. A Lightweight Software Stack for IoT Interoperability within the Computing Continuum
  22. Logical IoT Cloud – Integrated Systems Management for Cloud and IoT
  23. Double Deep Q-Learning Networks for Energy-Efficient IoT Task Offloading in D2D MEC Environments
  24. Frequency reconfigurable dual band PIFA antenna for IoT and NB-IoT applications
  25. TinyML Custom AI Algorithms for Low-Power IoT Data Compression: A Bridge Monitoring Case Study
  26. An Optimized Security Framework for Global IoT Communication using Software-Defined Networking (SDN) in Adversarial Environments
  27. Effective Monitoring and Functioning of Industrial Machinery with Various Control Parameters Using IoT
  28. IoT in Healthcare: Reducing EMS Delivery Time Using IoT & Realtime Geospatial Query Engine
  29. An Authentication Scheme for IoT-Based Mechanical Relay Utilizing QR-Code and MQTT
  30. An IoT Intrusion Detection System Based on TON IoT Network Dataset
  31. IoT Evolution and Recent Advancements
  32. IoT-Paradigm: Evolution Challenges and Proposed Solutions
  33. Shedding Light on Technological Treasures within IoT Application Layer Protocol
  34. Secure and Efficient Edge Computing Framework For IoT
  35. Smart MQ6 Gas Detector based on IoT
  36. Detecting Botnet Attacks in IoT Healthcare Systems through IoT Technology
  37. A Blockchain-Based Lightweight Secure Authentication and Trust Assessment Framework for IoT Devices in Fog Computing
  38. IoT system for non-invasive measurement of physiological parameters in animals
  39. Experimental Analysis of Side-Channel Emissions for IoT Devices Activities’ Profiling
  40. Design and implementation of an IoT based wheelchair for the treatment of spinal cord injuries
  41. Enhancing Node Selection in Blockchain-Enabled Edge Internet of Things (IoT): A Fuzzy Logic Approach for Improved Performance
  42. Design of A Distributed Intrusion Detection System for Streaming Data in IoT Environments
  43. Energy-efficient IoT Communications: A Comparative Study of Long-Term Evolution for Machines (LTE-M) and Narrowband Internet of Things (NB-IoT) Technologies
  44. IoT Network Forensics based on Transport Layer
  45. An enhanced IoT architecture for healthcare using secure Software-Defined Fog gateway
  46. Internet of things Interoperability: A smart IoT gateway approach
  47. Service Home Identification of Multiple-Source IoT Applications in Edge Computing
  48. IoT Gas Sensors Array for Unobtrusive Tracking of Cooking Activity
  49. Sensor Classifications and Their Applications in IoT Systems
  50. An Efficient Security Solution for IoT and Cloud Security Using Lattice-Based Cryptography