LANEX-Sensor Cloud is working on a new approach that harnesses the power of low cost sensors, high performance computing, and communications technologies to make it easier to track, analyze, and act upon environmental conditions for a safer and more sustainable world.
Sensor Cloud systems automatically collect real-time data from distributed AI sensors, transmitting it securely to the cloud for processing. Advanced cloud analytics then transform this raw sensor data into actionable insights through AI and machine learning algorithms. The processed information is presented via intuitive dashboards and data visualization tools, enabling users to monitor trends, detect anomalies, and make informed decisions - all accessible through web or mobile interfaces from anywhere in the world.
LANEX Predictive Maintenance Sensor are critical components used to monitor equipment condition and detect early signs of failure.
❍ Vibration Sensors
Detect imbalances, misalignment, or bearing wear in rotating machinery. Measure vibration frequency, shaft runout for motors, pumps, turbines, fans..
❍ Temperature Sensors
Identify overheating due to friction, electrical faults, or cooling failures for HVAC systems, electrical panels, bearings.
❍ Current & Voltage Sensors
Monitor electrical load, harmonics, or insulation faults. monitoring current for motors, transformers, switchgear
❍ Pressure Sensors
Detect leaks, blockages, or pump failures For hydraulic/pneumatic systems.
❍ Magnetic Sensors (Hall Effect)
detect gear teeth or rotor blades, ommon in automotive (crankshaft/camshaft position) and industrial motors.
❍ Thermal Camera (Early Heat Detection)
AI-powered cameras use infrared (IR) sensors to detect heat signatures invisible to the naked eye.
LANEX-Sensor uses real-time data tracking and machine learning to detect fluctuations, triggering alerts if levels fall outside safe ranges.
LANEX-Sensor helps maintain vaccine efficacy and prevents medication spoilage.
they safeguard blood banks and sterile storage areas.
loses pressure due to a faulty exhaust fan. The differential sensor triggers an alarm, sealing the room until repairs prevent airborne virus spread.
By automating environmental controls, AI-driven systems reduce human error, comply with strict regulatory standards (like CDC and WHO guidelines), and prevent costly losses of critical medical supplies.
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