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It has been 50 to 70 years and still no entrepreneurial genius human minds have successfully solved the problem of overly packed, crawling freeways. Everyday millions of people accept this huge waste of their time as a normal part of life and just complain,
This project proposes a 360-degree ground-to-air detection system designed to precisely identify and track commercial drones, including mini FPV models. The system leverages a multi-sensor approach for robust and reliable performance.
Multi-Sensor Synergy:
High-Resolution LiDAR: LiDAR sensors provide detailed 3D mapping,
The human centrifuge device has special cabin 1 for passengers so that the weight of the passengers is transmitted by a series of interconnected double cone wheel units sliding on v_shaped inclined tracts and tends to be supported by a rigid tube at right angles to the direction of
In the present days interest in agricultural waste has increased to explore their benefits from this waste. Wood is being used everywhere for making of paper as raw material. Wood pulp, bamboo, molasses, bagasse and cellulose fiber are essential for paper production.
The Defense System is a comprehensive solution designed to address the challenge of mosquito control in outdoor environments. Through its innovative approach and advanced technology, Defense System offers an effective and sustainable response to this common problem.
Functionality:
The system relies on a network of strategically placed repellent towers,
The Multi-Hybrid Car can greatly saved on energy. The Unified source of energy can come from solar power from the top of the car where sunlight and daylight can easily hit and it regenerate power.
I hereby submit a design idea of clinical grade prototype which is both ‘diagnostic’ and provides emergency ‘treatment’ by automatically diagnosing and switching to appropriate mode.
1) The idea conceptualizes a smart canvas that enables a manufacturing solution architect to design an optimum new product through regenerative process keeping a balanced view of market potential, sustainability, in house capacity utilization and provides a real time estimate of overall cost to do a feasibility study.
INTRODUCTION:
The proposed AI-powered drone application for agriculture addresses key challenges in precision farming, crop monitoring, and resource management. Traditional methods rely on manual labor and periodic inspections, which can be inefficient, costly, and error-prone.
Imagine a sky falling situation, where DISCOM can only supply limited electricity, and urban household need 5-10 days autonomy.
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