Aerospace & Defence Overview
Aerospace & Defence, One of the clients of glosys Mobility Platform, provides AI & Cloud Software Suite and SaaS Applications and Services to focus on Aerospace & Defence Data Management, Annotation Automation, Model Management for Aerospace & Defence, MLOps Automation and Aerospace & Defence data security in the digital world
Features We offer
Aerospace Materials Management
Managing materials in the vehicle components which are composites made of high-strength steel, aluminum, and carbon fiber/plastic commodities
Aerospace Vehicle Dynamics
Focuses on how a vehicle's forward movement changes in response to driver inputs, propulsion system outputs, ambient conditions, air/surface/water conditions
Aerospace Automated Design
Autonomous Vehicles rely on sensors, actuators, complex algorithms, machine learning systems, and create and maintain a map of their surroundings based on a variety of sensors situated in the vehicle.
Aerospace Battery Analytics
Battery Analytics focuses on examining data from charge-discharge cycles, capacity retention, rate performance tests and BMS manages the electronics of a rechargeable battery, whether a cell or a battery pack,
Aerospace Motor Intelligence
By embedding IoT sensors into vehicles, sophisticated AI systems can predict engine failure and optimize battery performance based on how drivers use the vehicle
Aerospace Vehicle Controllers
Vehicle control Units are electronic devices in EVs which oversee and regulate various subsystems, including the motor drive, battery management, thermal management, and energy regeneration systems
Aerospace Additive Manufacturing
Harnesses 3D Printing for parts associated with Vehicle Models by creating personalized aesthetic components
Usecases for Aerospace & Defence
Design of Aircraft
Gather relevant data on aerodynamics, materials, structural dynamics, and other relevant parameters.
Optimize design parameters such as wing geometry, fuselage shape, and propulsion system components, such as engines and propellers, for fuel efficiency and performance.
Predict aerodynamic forces, moments under different flight conditions and structural integrity of different materials and configurations.
Aircraft Control and Autonomy
Implement machine learning algorithms for flight control systems to enhance stability and response in different flight scenarios.
Develop autonomous capabilities using machine learning for tasks like navigation, obstacle avoidance, and decision-making.
Simulation and Testing of Aircraft
Create accurate simulations for virtual testing of aircraft designs.
Augment traditional testing processes with predictive models to reduce the need for physical prototypes.
Vehicle Intelligence Driven Drones Development
Focus on Drones such as Quadcopter, Hexacopter, Octocopter in terms of Frame, Motors, Propellers, ESC/Electrical Motor Controller, Flight Controllers, Power Distribution Board, Battery, Camera, Sensors, Receiver, VTX/Video Transmitter
Development of Surveillance, monitoring and Mapping Drones with Weight, Endurance, Launch Altitude, Operation range, Cruise speed, Operating Altitude, Wind Resistance, No. of Motors, No. of Propellers, Controller,
Way Point, Target Tracing, Semi & Full Autonomous, Back up, Combo Thermal & RGB, Zoom, Daylight Camera, Thermal Camera, Megapixel, Gimbal and Rotate
Vehicle Intelligence Driven Spacecraft Development
Focus on the development of Unmanned Aerial Vehicle in terms of Aerodynamic Structure, Propulsion System(Engine), Fuel Tanks System, Guidance System, Payload System and Launch Platform
Vehicle Intelligence Driven Nano Satellite Development
Focus on the development of nano satellite in terms of Sensors, Cameras, A Computer on a chip, GPS Chip, A Power System, An Antenna, A Radio Transmitter, Attitude and Orbit Control System, Chassis and Thermal Control System, Telemetry, Tracking, and Command(TT&C)
Meet Your Vehicle Intelligence for Aerospace Objectives & Needs