Indoor and outdoor geolocation: every project has a solution

Today geolocation technologies can locate objects or people with an accuracy ranging from 10 km to 10 cm, or even 2 cm in some cases.

We help you to choose the right solution(s) for your requirements. We transform the geolocation information into data that can be exploited by your business applications and that can create value.

Geolocation: making the right technological choices

Outdoor and indoor geolocation and geofencing offer considerable prospects in terms of new BtoC, BtoB or BtoE digital services. This is true in all sectors: retail, health, industry, maintenance, logistics, insurance, agriculture, smart cities, etc.

Hardis Group's consultants help you to make the right choices according to the required business uses:

  • Technologies: Beacon (Bluetooth), public or private WiFi, Ultra Wide Band, ultrasound, LiFi (LEDs), RFID
  • Communication protocol: GPRS (2G, 3G, 4G), LoRa (Long Range), WiFi, Sigfox UNB (Ultra Narrow Band)

Our teams help you to produce prototypes in agile mode and ensure that the solution delivers the required service in near real-life conditions.

Creating value relating to geographical position

Backed by our experience in integrating business solutions, we help you to transform the geographical position of objects and people into an event which can be interpreted for use in the following sectors:

  • Logistics/industry: monitoring of sensitive equipment or hazardous materials, traceability of transported products, intrusion alerts in high-risk or reserved areas, logistics warehouse inventory, etc.
  • Health: alerts if someone with Alzheimer's disease leaves a specific area or if there is an intruder in an area storing high-risk pharmaceutical products, etc.
  • Marketing/sales: automatic triggering of an action when a smartphone user enters or leaves an area, customer journey analysis, etc.

In order to offer increasingly intelligent services relating to geographical location, we also help you to exploit and optimize the value of geolocation data in real time or after the event: preventive or predictive analyses, optimization of processes through machine learning, alerting and automatic correction of faults, etc.