IoT Telemetry Systems

Sensors’ data and machine learning as a robust decision-making couple.

Telemetry System

The goal of each telemetry system is to collect and transmit data from remote sources for monitoring and analyzing purposes. For example, when a user checks the memory consumption and hard drive usage on his laptop, he, in fact, benefits from the telemetry system.

But it is IoT what moved telemetry to the next level!

What is a Telemetry System?

IoT Consulting

Firmware development

IoT Telemetry systems development

Telemetry systems monitoring and maintenance

IoT devices prototyping

Testing & real-time analysis

Contact with our experts to know more about our IoT Telemetry System offer

Example business scenarios

We measure everything and everywhere, send collected data to the cloud, and show colorful charts to business owners on their smartphone app. Why would anyone do that? Because in a long-term good IoT telemetry system saves your time and money.
Let’s have a look at a few use cases

Real-time conditio monitoring

There are 100 lathes in a factory plant that are supposed to be working 24/7. After mounting vibration sensors on each lathe, the business could see that on average 10 lathes are not being operational for more than 5 hours per day. The reason: it takes a few hours for the shift manager to realize that one of the machines stopped working because there was no alerting system. In most cases lathe could be started again within minutes. With a IoT telemetry system solution production efficiency has grown immediately, and interruptions in operation have been lowered to minimum.

Air conditioner production

For a company specializing in air conditioner production it is crucial to evaluate products in a matter of energy consumption and providing clean, healthy air to their customers. Therefore they need a complex telemetry system for testing the air conditioners. Multiple sensors measure parameters of air e.g. temperature, humidity, oxygen and carbon dioxide content, the level of ethylene, harmful gases, PM 2.5 and air density. With machine learning and AI, constructors are able to adjust machine parameters and see the real results directly in the air, making their products better and more efficient.

Air conditioner production

Saving the lives of bees

We all know there would be no humans without bees. But not all of us know how important it is to react quickly if something bad happens in a beehive e.g. hornets attack, poisoning with pesticides, sudden increases in temperature or drought. Without IoT telemetry systems, the beekeepers did not have any chance to react. With sensors and machine learning algorithms running on the Edge AI modules directly in the beehive, beekeepers are being informed immediately about any unexpected situations. In this case, technology could save millions of bees’ lives as well as the whole human nation.

Benefits for your company

Reduced operational and maintenance costs

Increased chance of finding difficult-to-see bugs

Real-time monitoring of multiple devices

Reduced risk of injuries

No need to travel to distant locations

Possibility of collecting data from moving objects

Processes improvement thanks to gathered data

Easy software integrations and data sharing

Have questions? Need a quote?
What to find out more?

Edge AI in IoT Telemetry Systems

Collecting a huge amount of IoT data from sensors is usually not a big deal.
The challenge is how to extract necessary information and make proper decisions based on this data.

Edge AI capabilities

Edge AI – artificial intelligence running directly on the device which could react on place instantly. Those small devices are usually equipped with dedicated Edge AI modules like Google Coral or Nvidia Jetson. Data from IoT sensors is being processed and analyzed on the device itself and only crucial, necessary information can be then transmitted to the cloud, saving transfer costs and saving time.

What can RapidLab do for you in the area
of IoT Telemetry Systems

RapidLab engineers have the know-how and skills you need to solve most complex challenges in Internet of Things sensors, connectivity and telemetry area.

What you need to know is: