Expand Your Vision and
Insights Beyond Reach
INDUSTRY4.0
Odysight.ai® is pioneering the Predictive Maintenance and Condition Based Monitoring markets with its visualization and AI platform, currently being deployed in the fields of Aviation, Unmanned Aerial Vehicles (UAVs), Mobility and Transportation, Energy Plants and Wind Turbines.
TECHNOLOGY
Pioneering the use of its visualization and AI platform in Industry 4.0 markets such as: aviation, energy, mobility and transportation, Odysight.ai’s Camera-as-a-Sensor™ technology, accompanied by specialized trained AI models, is being deployed in hard to reach locations and harsh environments, across a variety of Predictive Maintenance and Condition Based Monitoring use cases. Odysight.ai’s platform allows maintenance and operations teams visibility into areas which are inaccessible under normal operation, or where the operating ambience is not suitable for continuous real-time monitoring.
INDUSTRIES
UNMANNED AERIAL VEHICLES – UAVS
To reduce costs and maximize up-time, Odysight.ai’s unique technology, Camera as a Sensor™, was developed to enable the ability to shift from traditional maintenance approach that is focused on replacing parts as needed to a predictive maintenance one which focuses on monitoring the condition of UAV parts at all times.
ENERGY
Identifying minute and potential malfunctions in complex systems is a crucial component of efficient predictive maintenance within the energy industry.
AVIATION
Odysight.ai’s predictive maintenance and condition based monitoring technology provides aircraft & aviation systems with real-time information to secure their continued operations. Odysight.ai technology provides aircrafts and aviation systems with real-time information that effectively secures their continued operations.
MOBILITY
Odysight.ai’s visualizing, analyzing, predictive maintenance and condition based monitoring solutions provide the automotive and transportation industry greater productivity and safety.
USE CASES
PRESS RELEASES
ADDED VALUES
LOWER
DOWNTIME
SPARE PARTS
MANAGEMENT
INSIGHTS
IMPLEMENT PREDICTIVE
MAINTENENCE
