Automotive/Transportation
A personal flying vehicle without wings would greatly diminish the need for ground travel. Lifting, flight, and landing power could be supplied with multiple blades that circle the body of the craft between the outer perimeter and an enclosing cover. The angle of these blades could be continuously adjusted to accomplish changes in craft movement.
IVOSS (In-Vehicle Occupant Security System) is an intelligent, network-enabled video surveillance system designed to enhance vehicle security and protect its occupants. It combines real-time video capture, edge computing, secure data storage, and connectivity to a central monitoring centre, making it suitable for both private and commercial vehicle applications. Whether the vehicle is in motion or parked,
The AI-Driven Smart Vehicle Tracking and Fleet Optimization System is an innovative automotive security and efficiency platform designed to transform how vehicle fleets are monitored, managed, and optimized. Developed by Sunrise Tracking, this intelligent system leverages artificial intelligence (AI), GPS/GLONASS technology, and real-time data analytics to provide a comprehensive, scalable,
Urban transportation faces mounting challenges: congestion, pollution, risinging frastructure costs, and growing population densities.
In response, we introduce the Modular AI-Powered Electric Urban Transport Pod System: a next-generation solution designed to revolutionize how people move within cities.
These fully electric, autonomous pods are lightweight,
There are 110 million diesel engines in use worldwide, with an additional 10 million added each year. They power the majority of medium- and heavy-duty vehicles used in local and long-distance logistics, including trucks, vans, and commercial fleets. Diesel engines are also widely used in agriculture, construction, mining equipment, marine vessels, power generation (e.g., generators),
Introduction:
Our innovative approach leverages machine learning to transform automotive 3D design, focusing on accelerating the product design cycle. By integrating deep learning into traditional design iterations, we provide a unified solution that significantly reduces costs and enhances efficiency.
Problem Statement:
The traditional automotive 3D design process is plagued by high costs and long lead times.
The consequences of the ecological crisis in the Aral Sea region pose a serious threat to human health, soil fertility, and the environment. In order to mitigate global environmental problems such as climate change, sandstorms, and soil degradation, the expansion of green spaces and the creation of forests in the region remains one of the urgent tasks.
FAIR engine replaces the air compression section of a Wankel rotary engine with a secondary combustion chamber; it executes two combustion cycles per shaft revolution. FAIR engine injects Oxygen Enriched Compressed Air (OECA) to accelerate the chemical reaction for thorough and clean combustion, it reduces NOX, HC, CO, etc. emissions.
The Rigid deployable shelter is comprised of 12 wedge-shaped segments that nest concentrically into one another and rotate outward around a central connected shaft in a degree-locked manner to form a shelter. Rapid deployment of the Shelter is facilitated by rotating inner segments around the central shaft.
In many developing cities, intersections are managed by outdated or manually operated signal systems that lack real-time adaptation, data integration, and remote monitoring capabilities. This leads to chronic congestion, unsafe pedestrian conditions, longer travel times, and increased emissions. While advanced traffic signal controllers exist, they are typically expensive, proprietary,
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