CASE NO. 03 · CONSUMER IOT / FAMILY SAFETY · CLIENT: MINDPEACE

One app for the people and things a family protects.

A “Find My” app will show you where someone is. That is where it stops. It cannot tell you when a child has left a safe zone, or when severe weather is heading toward an elderly parent. MindPeace puts GPS tracking, emergency alerts, and Syght BLE asset tags on one platform, so the people and the things a family watches all show up in the same place.

What we delivered

GPS tracking platformGeofencing engineEmergency alertsWeather intelligenceSyght BLE asset tagsSchool-bus GPS integrationNative mobile apps

The shape of it

Every device a family relies on, in one real-time picture.

The gap

These apps answer one question: where is this person right now. They do not warn anyone about anything. The families who need tracking most, parents watching children and adults caring for elderly relatives, need to hear about a problem while there is still time to act on it.

The tracking is also fragmented. A family ends up with one app per device, and none of them talk to each other. There is no single picture of who is safe and what is where.

The constraint

Hardware-agnostic by design. One platform, whatever the device happens to be.

  • Proprietary trackers
  • School-bus GPS systems
  • Syght tile-like tags
  • Third-party wearables

Engineering highlights.

01

Hardware-agnostic ingestion

Proprietary trackers and school-bus GPS feeds arrive in different formats. So do the Syght tags. Whatever the device, its position ends up in the same safety picture.

02

The geofencing engine

Real-time alerts the moment a family member enters or leaves a designated safe zone.

03

Weather intelligence

Automated alerts when a family member is in the path of severe weather.

Inside the build.

TRACKERSSYGHT TAGSBUS GPSINGESTIONGEOFENCE ENGINEFAMILY ALERTSALERT PATH
Fig. 01·Many devices in, one position stream out.

Why a geofence needs clean positions.

Syght tags report BLE proximity. GPS trackers report coordinates, and school buses report fleet telemetry. Each one means something slightly different by “where”, and a geofence is only as good as the positions it is fed. We normalized those sources into one position stream, scored for confidence, so the geofencing engine knows how far to trust a reading before it fires an alert.

Building something that has to work when it matters most?