Find the sensor you need

Sensors, LoRa gateways, 2G 3G 4G routers… We help you find the sensor that will collect the right data.

A library of over 500 decoded sensor models

As a partner of many manufacturers of equipment dedicated to Machine-to-Machine (M2M) and the Internet of Things, based in France and abroad, Synox advises you on the choice of the sensor suitable to your use and facilitates its installation.

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Our end-to-end services

We facilitate the deployment of your routers and other sensors thanks to our technical team which will be able to advise and support you in the implementation of your project whatever your sector of activity.

You have a product delivered, connected and configured according to the requirements and specificities of your use.

With connectivity built right into the product, it is functional and ready to be activated.

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Selection of sensors and devices according to your needs

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Hardware and M2M SIM card integration

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Remote parameterization of your sensors and customer support

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Bilingual and responsive customer support

Our connected device catalog

New version updated.

Whatever your needs, you’ll find in this catalog a selection of sensors you’ll need to measure, locate, notify, remotely read, actuate or transmit.

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Key points on IoT data capture

The Internet of Things and the exponential increase in the number of connected devices have turned data into a veritable golden nugget. The proliferation of connected devices in all sectors now allows companies to access new sources of data and therefore information that was previously unknown or difficult to access. Considering that any device or equipment can now be connected, the possibilities are infinite as well as their evolution.

Implementing IoT solutions to capture and exploit data allows companies to diversify and think about developing new services. Thanks to the significant drop in the price of sensors and the development of networks dedicated to connected devices, any entity has the opportunity to rush into data exploitation.

While it is clear that the Internet of Things can provide very detailed information about its environment, one of the main challenges in collecting this data lies in its capture and transmission, to transform it into actionable information for the end user.

So what are the technologies and issues related to data capture?

Distinguish between data and connected devices

Data is now an extension of the Internet and information systems to the physical world. Today, data is very concrete. The connected devices collect this data via different elements able to communicate with each other thanks to the network and other gateways.

A connected device, equipped with sensors like real sensory organs, has the capacity to capture and transform a physical parameter into an electronic and exploitable parameter. The challenge is to transform a connected device into value and create new services to meet the needs of new businesses that will have a significant impact on the lifes of citizens, companies, an ecosystem, etc.

In the IoT, a device can be a sensor or an actuator. We differentiate between both because this will have an impact on the choice and sizing of the technological solution:

  • Sensors are devices that convert an observed physical quantity (temperature, luminosity, movement, etc.) into a digital quantity that can be used by software. There is a very large variety of sensors of all types, connected devices often allow to collect these physical quantities on their different places of use.
    Example of sensors: brightness, presence, proximity, position, movement, acceleration, rotation, temperature, humidity, sound, vibration, pressure, level…
  • Actuators are devices that transform digital data into physical phenomena to create an action. Unlike a sensor, an actuator allows you to produce a remote action.
    Example of actuators: displays, alarms, switches, motors, pumps, locks…

Why capture the data?

Enriching products and devices with sensors capable of collecting and retrieving data is now accessible to all. Capturing the data is the first step in the process of dealing and using it.

The greater the amount of data captured, the more accurate its analysis will be.

The purpose of data collection is obviously to improve the processes, structure and overall organization of an entity.

For example, a manufacturer in the industry can, thanks to the sensors placed on its equipment, follow the operating status of its fleet, provide elements of understanding on how it evolves over time in a given environment and anticipate the malfunctions that the machines could encounter.

How to capture the data?

Depending on the type of device, sensor or actuator, the constraints in terms of communication will be different. Indeed, if you control one or more lighting systems, you will avoid using a network that does not offer the option of real time.

Each sensor allows different measurements, at different frequencies and the choice of sensor depends mainly on the use.

Here is a non-exhaustive list of measurements that can be returned with a sensor:

  • Volume
  • Noise
  • Distance
  • Couple
  • Flow rate
  • Conductivity
  • Vibration
  • Moisture
  • Speed
  • Temperature
  • Force
  • Pressure
  • Energy
  • Location
  • Power
  • Viscosity

Ask yourself, “How often do we want to collect data and with what level of reliability?”

How to choose your sensor?

To choose the right sensor for your purpose, you will need to:

  • Evaluate the distance parameters between the sensor and the device to be detected, i.e. the measurement range.
  • Consider sensitivity, accuracy, speed and tolerated error level.
  • Take into account the environment in which the sensor will be used (indoor or outdoor), which can considerably influence the detection of the data.
  • Take into account the battery’s power supply and its life span. Some sensors have rechargeable batteries, which reduces the environmental impact of the project from the start. There are also sensors that have a “sleep” mode when they are not active. This standby state makes their energy consumption almost zero, and therefore extends their lifespan.
  • Be aware that your sensors are also input sources of your systems, so they must be protected.

For example: In hard-to-reach places, it is preferable to use a sensor with a large autonomy in order to limit the number of technician’s movements and thus optimize the exploitation.

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