Automotive/Transportation
Cervisafe () is an advanced cervical support system engineered to improve passenger posture and minimize neck fatigue during travel across public and private transportation. The invention introduces two specialized models—one for mass transit and one for personal vehicles—each designed to provide tailored ergonomic benefits while maintaining seat functionality and aesthetic integrity.
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,
Traditional dumpers can unload material only at the rear side by hydraulic lifting of metal dump bucket. Some times in narrow lane and small space such dumping may create difficulties for the commuters and other traffic. As an example, it is seen that unloading the reinforced steel bar (rebar) at the rear side is not possible,
3D printing’s the potential to drive mass customization, reduce waste,
Cameras are key enablers of self-driving and advanced driver assistance systems (ADAS) that are revolutionizing the safety, comfort, and efficiency of transportation. However, they suffer from a fundamental flaw: They capture images at fixed intervals – typically 40-45 frames per second (FPS) – during which they are effectively “blind”,
This minibus project is based on a contemporary design approach, stylized to reflect the smooth, aerodynamic form of a capsule. Environmentally conscious by design, the vehicle is powered by solar panels and can also be charged via electric power stations when necessary. This dual-source energy system supports environmental sustainability and promotes the use of clean, renewable energy.
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.
Traditional stop signs serve a vital function but operate with outdated rigidity. Regardless of traffic or time of day, drivers must stop — even when no other vehicles are present. This leads to wasted time, unnecessary emissions, fuel consumption, and avoidable frustration. Worse, static stop signs can be missed by inattentive drivers, raising the risk of accidents.
The patented D-cycle (differential-stroke cycle) is a 2-/4-cycle hybrid,
While the world focuses on exhaust pipes, a silent polluter hides in plain sight: our tires and brakes. Non-exhaust emissions (NEE) from tire wear and brake dust can constitute over 50% of urban traffic-related particulate matter (PM2.5/PM10). This invisible, toxic dust—a problem exacerbated by heavier electric vehicles—clogs our air, contaminates our water,
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