SmartEye(EdgeEye), an edge-based LoRa network platform has been designed for Anomaly detection and Monitoring of Large scale systems. It can be used for many applications such as:
General applications of EdgeEye:
- Fault detection and monitoring of network-based systems such as Water, Gas, and Electricity networks.
- Meteorology
- Smart home
- Remote sensing
- Surveillance systems
- Smart Agriculture, to monitor soil moisture, temperature, and humidity. The data collected from the sensors can be processed at the edge and sent directly to the farmer’s smartphone or computer.
- Industrial IoT applications, to monitor equipment health, detect anomalies, and predict maintenance needs. The data collected from the sensors can be processed at the edge and sent directly to the maintenance team’s smartphone or computer.
- Smart Cities applications, to monitor traffic flow, air quality, and noise levels. The data collected from the sensors can be processed at the edge and sent directly to city officials’ smartphones or computers.
- Healthcare applications, to monitor patient health, detect anomalies, and predict potential health issues. The data collected from the sensors can be processed at the edge and sent directly to healthcare professionals’ smartphones or computers.
- Environmental Monitoring applications, to monitor water quality, air quality, and weather conditions. The data collected from the sensors can be processed at the edge and sent directly to environmental agencies’ smartphones or computers.
Indoor applications of EdgeEye:
- Asset tracking: to track assets such as equipment, tools, and vehicles within a building or facility.
- Inventory management: to monitor inventory levels and automate the reordering process.
- Environmental monitoring: to monitor temperature, humidity, and air quality in indoor spaces.
- Security systems: to create a wireless security system that detects intruders and alerts the appropriate authorities.
- Smart lighting: P2P LoRa can be used to control lighting systems in indoor spaces based on occupancy and ambient light levels.
- Energy management: to monitor energy usage in buildings and optimize energy consumption based on occupancy patterns.
- Healthcare monitoring: to monitor patients’ vital signs and alert healthcare providers in case of emergencies.
- Smart home automation: to control various home automation devices such as thermostats, door locks, and security cameras.
Differences between the p2p LoRa application (EdgeEye) and LoRaWAN applications:
LoRa applications are typically point-to-point or point-to-multipoint communication systems that use LoRa modulation to transmit data over long distances with low power consumption. These applications are typically used in industrial automation, smart agriculture, asset tracking, and other similar applications.
On the other hand, LoRaWAN applications are based on the LoRaWAN protocol, which is a standardized protocol for building large-scale IoT networks. LoRaWAN applications are typically used in smart cities, smart buildings, and other applications that require a large number of devices to be connected to a network. LoRaWAN also supports bidirectional communication, which allows for remote device management and firmware updates.
In summary, LoRa applications are more focused on point-to-point or point-to-multipoint communication, while LoRaWAN applications are designed for large-scale IoT networks with bidirectional communication capabilities.
Limitations to be considered while implementing a LoRa point-to-point application:
There are several limitations that need to be considered while implementing a LoRa point-to-point application:
- Range: Although LoRa technology is designed for long-range communication, the range can be affected by factors such as terrain, obstacles, and interference.
- Data rate: LoRa technology is optimized for low data rates, which means that it may not be suitable for applications that require high-speed data transfer.
- Interference: LoRa operates in unlicensed bands, which means that it may be susceptible to interference from other devices operating in the same frequency range.
- Power consumption: LoRa technology is designed for low power consumption, but the range and data rate can affect the power consumption of the devices.
- Security: LoRa point-to-point communication is vulnerable to eavesdropping and interception, which means that appropriate security measures need to be implemented to protect the data being transmitted.