Projects involving the Internet of Things require a high volume of data exchange and this traffic has a high potential to leave information exposed. It is important to pay attention to the data security, especially when projects involve assets of companies and people. Dealing with organizations’ critical data or with information from employees and third parties will always be a risk, but we’ve already talked a lot about the importance of ensuring security in these cases and we punctuated fundamental tips in this post.
Now, we want to go deeper into the issue of risk monitoring, and let’s use the IoT for the benefit of the business.
How to use IoT for risk analysis?
Risk analysis with the Internet of Things is already typical in the case of smart homes, and there are many examples. In the case of security cameras, all of them are devices connected to the internet – recordings are made, sent, and stored – no news here. In the case of risk analysis, there are systems capable of issuing alerts when movement in an area without authorization is detected. This is risk analysis.
For companies, there are many other possibilities. For manufacturing, IoT devices help transmit information from each of the machines – and all in real-time. This allows you to avoid interruptions in the production line by detecting failures before they happen.
Facial recognition with different goals
With COVID 19, great care is still needed, and IoT can also help in these cases. Facial recognition can reduce contact with access turnstiles, for example. And when we think about risk monitoring, this application also helps detect authorized or not to enter certain places. Facial recognition technology allows for more security within companies – depending on the project, it is worth investing in automatic door locking.
IoT for accident prevention
IoT devices can also help (a lot) prevent accidents in buildings or factories where there is a lot of risky equipment. It is possible to think of projects that emit an audible warning when a professional, for example, approach a dangerous area – this alerts the person immediately, preventing accidents, and also allows companies to understand which areas are the busiest – this second example helps to control the number of people together in the same place in COVID-19 times as well.
IoT devices can also help track fleet movements in logistics-focused companies. It is possible to know how travel and cargo delivery are going in real-time with the right project. This considerably reduces the risks of diversion – which makes the whole process much more efficient.
Where to start?