What’s Tracking Technology?
Tracking technology is the convergence of several technologies that can be merged to create systems that track people, inventory, livestock or vehicle fleets.
An example of a use case is People Tracking Technology:
People Tracking includes detection, recognition, and predictive analytics of objects in motion. The complexity depends on the location of objects (i.e. store or street), the dimension of objects (i.e. a person or image), and details of the image (i.e. facial recognition or facial demographics).
Anonymous location-based data serves a wide variety of sectors, including Retail, Buildings, Hospitals, Transportation, and Smart Cities.
Can Tracking Solutions can be divided into three broad categories?
It is Sensors Edge-Solutions, Device-Based Tracking, and Advanced Technologies.
Technologies include:
- Vision Analytics
- 3D Stereo Video Analytics
- Monocular Video Analytics
- Thermal Imaging
- Infrared Beams
- Time of Flight
- Structured Light.
- Raspberry Pi
- WiFi (Wide Area Network) Tracking
- UWB (Ultra Wide Band) | Radar Imaging
- BLE (Bluetooth Low Energy) Beacons
- GPS (Global Positioning System) Personal Tracker
- RFID (Radio Frequency Identification) Tags & Tracking
- Bio-Metrics (Facial Recognition & Anonymous Demographics)
- 3D Spatial Learning (Augmented Reality)
Shopper Tracking refers to tracking people (objects) in motion
People Counting refers to technologies solutions that “count” the number of people that either pass a virtual line or stay inside a specified zone.
In addition to detecting the object, the solution needs to recognize the object. There are different levels of object recognition.
People Counting Solutions generate linear data if the object is detected, or not. Some technologies recognize the direction of the object (path), and provide In/Out counts and Dwell Time.
The business benefits for people counting relate to measuring the number of visitors, sales conversion, store comparison, and mall analytics.
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