Real Time Location Tracking
Real Time Location Tracking optimizes utilization, reduces waste and increases insight by providing visibility and traceability of devices, people and things. It seamlessly transitions between indoor and outdoor environments and unlike conventional tracking solutions can function without the aid of GPS. Location Tracking allows easy integration into existing infrastructure via Tracking cloud connector API infrastructure. It can as easily plug into custom business applications as it can plug into the large ERP systems of record in the industry. Location Tracking is also hardware agnostic making it easy to integrate almost any hardware tracker. On top of this, our solution works with many major device vendors directly to embed the Tracking libraries on the tracking chipset.
Level I.T. offers IPS(indoor positioning system) that makes possible to be clients to provide precise positioning or co-ordinates. Our system takes advantage of technologies such as Bluetooth, Wi-Fi and sensors on mobile devices or cloud to provide accurate positioning inside buildings or indoor areas. Our clients can leverage this solution to provide personalized offers, real-time information, navigational support and connectivity with people in close proximity and support to gather user analytics. The solution uses Bluetooth tags for proximity-based sensing and Wi-Fi network to determine users’ positions. The accuracy of the solution is further improved with IoT Technologies.
The BLE Mesh Protocol
A bluetooth mesh is comparable to a network of small devices (beacons) which form a virtual grid. Within this grid, digital transactions via a mobile apps or other digital devices can be traced and monitored.
Our BlueRange mesh is based on Bluetooth Low Energy (BLE)technology and is backward compatible to Bluetooth 4.1. BlueRange mesh protocol supports Bluetooth up to version 4.1 and therefore both current and older mobile devices.
Wifi Location Tracking
Wireless local area network based positioning, e.g. Wi-Fi based positioning, as well as Bluetooth-signal based positioning, are founded on signal strength measurements. Signal strength measurements from network access points enable localization based on previously prepared databases of these signal strengths, so-called “fingerprint databases”. The fingerprint databases are generated by measuring the signal strengths from multiple access points at certain reference points in the area of interest. Then, in the positioning phase location of the user’s receiver is determined by matching the real-time signal strengths to the fingerprint database generated in the training phase. The accuracy of wireless local area network based positioning depends essentially on the number of access points in the area of interest and the topological distribution of the reference points represented in the fingerprint database. In good conditions, accuracy of a couple of meters can be achieved.