Automotive Overview
Automotive, One of the clients of glosys Mobility Platform, provides AI & Cloud Software Suite and SaaS Applications and Services to focus on Automotive Data Management, Annotation Automation, Model Management for Aerospace & Defence, MLOps Automation and Aerospace & Defence data security in the digital world
Features We offer
Automotive Materials Management
Managing materials in the vehicle components which are composites made of high-strength steel, aluminum, and carbon fiber/plastic commodities
Automotive 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
Automotive 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.
Automotive 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,
Automotive 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
Automotive 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
Automotive Additive Manufacturing
Harnesses 3D Printing for parts associated with Vehicle Models by creating personalized aesthetic components
Usecases for Automotive
Electric Vehicles
Focus on Electric Motors such as AC induction motors, permanent magnet motors, or brushless DC motors and a single-speed/multi-speed transmission with the wide torque range and design an inverter to convert DC power from the battery to AC power for the motor
Select Battery System in which lithium-ion, solid-state batteries, battery management system to monitor and manage the state of charge, temperature, and voltage of individual battery cells and thermal Management should exist
An onboard charger to convert AC power from charging stations to DC power for the battery
Vehicle Chassis for choosing lightweight materials like aluminum or carbon fiber to offset the weight of the battery and improve overall efficiency.
Vehicle Control Unit to manage the overall vehicle operation, integrating functions like power distribution, regenerative braking, thermal management
and electronic control systems for steering, braking, and acceleration.
Design a user-friendly interface for controlling various vehicle functions, providing information about battery status, range, and charging.
Autonomous and Connected Vehicles
Perception and Sensing for detecting and recognizing objects in the vehicle's surroundings, such as pedestrians, other vehicles, and obstacles.
Mapping and Localization for enabling vehicles to create accurate maps of their surroundings and determine their position within those maps.
Path Planning and Decision Making for helping vehicles learn from experience and adapt to dynamic and complex traffic scenarios.
Human-Machine Interaction for effective communication between the vehicle and passengers or pedestrians using NLP
Cybersecurity for detecting unusual patterns in data, helping to identify potential cyber threats and secure the vehicle's software and communication systems
Simulation and Testing for allowing developers to expose vehicles to a wide range of scenarios before deploying them on real roads
In-Cabin Analytics for safety, security, surveillance, and monitoring, including privacy concerns for personal and shared autonomous vehicles
Driver Distraction Detection
AI driven deep learning models can generate warnings for the distracted driver periodically when they detect various kinds of distracted behavior of a driver like using cell phone, talking to others, eating, sleeping or lack of concentration during driving
Automotive Semantic Segmentation
Divide the Automotive image into clusters to seamlessly classify objects like cars, bikes, pedestrians, sidewalks, traffic lights, etc.
Street sign detection
Train your model to recognize and read street signs to bypass accidents on the road
Video object tracking
Annotate videos to help your model detect objects and follow their movement.
Meet Your Vehicle Intelligence for Automotive Objectives & Needs