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5 problems everyone has with IoT and their Solutions

It refers to the collective network of connected devices and the technology that facilitates communication between devices and the cloud, as well as between the devices themselves. Six Industries Inc can help you to establish these services.

Furthermore, with the advent of inexpensive computer chips and high bandwidth telecommunication, we now have billions of devices connected to the internet. This means everyday devices like toothbrushes, vacuums, cars, and machines can use sensors to collect data and respond intelligently to users. 

¤ Smart devices

This is a device, like a television, security camera, Artificial Intelligence lab, or exercise equipment that has been given computing capabilities.

However, it collects data from its environment, user inputs, or usage patterns and communicates data over the internet to and from its IoT application.

1. IoT application

It is a collection of services and software that integrates data received from various IoT devices and Machine Learning (ML). It uses machine learning or artificial intelligence (AI) technology to analyze this data and make informed decisions.

Furthermore, these decisions are communicated back to the IoT device, which then responds intelligently to inputs.

2. A graphical user interface

The IoT device or fleet of devices can be managed through a graphical user interface. The Internet of Things (IoT) is the ultimate masterpiece of technology.

Moreover, Common examples include a mobile application or website that can be used to register and control smart devices.

3. Computerization and Automation

Connected cars have a range of uses:

     • Monitoring rental car fleets to increase fuel efficiency and reduce costs.

     • Helping parents track the driving behavior of their children.

     • Notifying friends and family automatically in case of a car crash.

     • Predicting and preventing vehicle maintenance needs.


4. Connected homes

Smart home devices are mainly focused on improving the efficiency and safety of the house, as well as improving home networking and how IoT is serving the automobile industry is transparent.

However, devices like intelligent outlets monitor electricity usage, Augmented reality labs and smart thermostats provide better temperature control.

» Smart buildings

Buildings such as college campuses and commercial buildings use IoT applications to drive greater operational efficiencies.

IoT devices can be used in smart buildings for:

     • Reducing energy consumption.

     • Lowering maintenance costs.

     • Utilizing workspaces more efficiently.


» IoT data collection and management

It is invaluable in many industries because it enables the monitoring and management of remote systems in real-time. 

For example, IoT devices can monitor patients in the ward or at home, Extended reality labs remotely control manufacturing systems, and track shipments and vehicles across distances.

» Data Security

Some IoT devices collect highly sensitive information. In the healthcare industry, the data collected by IoT devices include protected health information (PHI). Internet-connected cameras, Emergency Management, voice assistants, and similar tools can monitor.

Moreover, IoT devices used in manufacturing have access to sensitive information about manufacturing processes and procedures.

» Data Privacy

Much of the information collected and processed by IoT devices may be protected under various data privacy laws (Government and Defense).

However, the EU'S General Data Protection Regulation (GDPR) protects any data that can be used to uniquely identify an EU citizen, including their name, address, and phone.

» Data Volume

The Internet of Things is snowballing, and IoT devices produce massive amounts of data. The sheer volume of data IoT devices produces turns storing, transmitting, and processing it into significant challenges.

» Data Complexity

Many IoT devices are designed to adopt a Big Data mentality. These devices collect as much information as possible and send it to cloud-based servers for processing. In addition to producing massive volumes of data, this approach also creates complex datasets.

The data produced by IoT devices, Cyber Security is often unstructured and provides a limited perspective.

» Consent to Processing

In addition to consent to data collection, GDPR and other laws require explicit consent from data subjects for their data to be processed.

However, with IoT devices, massive amounts of data are collected and processed, making it challenging to monitor how data will be processed and get consent for that processing.

» Encryption process

Data protection laws require data to be encrypted at rest and in transit to protect against unauthorized access and misuse. IoT devices and Encryption labs often have limited power and processing resources, making appropriate data encryption difficult.

As a result, these devices may not always be designed to meet regulatory requirements for protecting the data that they collect.

» Access Management

Data protection laws like GDPR, HIPAA, and others mandate that access to sensitive information be limited to those who require it for their roles. IoT devices are designed to be distributed and have their data processed on cloud servers, making it more difficult to track and control access.

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