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Total prize pool of $60,000
All projects (41)
A repository demonstrating an end-to-end architecture for Intelligent Video Analytics using NVIDIA hardware with Microsoft Azure.
A robot that can move objects with voice commands from android by setting the speed of movement based on the dimensions of the object to be
Cofee-robot, Imagine revolutionizing the traditional coffee drying process with cutting-edge machine vision technology.
Video analytics is a game-changer for retail stores, helping businesses overcome operational hurdles and identify improvement opportunities.
Automatic Flat Tire Detection Using Convolutional Neural Networks to Prevent Accidents Caused by Tire Pressure on Highways
Revolutionizing forensics with AI: NecroTalk streamlines necropsy reporting using NVIDIA Jetson for faster, accurate, automated documentation
A helpful device for blind where the device is able to capture text from images, and then translate it into multi-lingual speech.
Detecting and tracking people in large retail spaces to drive live AI Generative graphics. CV solution also applies to build site safety.
Capture the backyard situation and respond differently to different scenarios.
It is possible to pick fruits and vegetables at right time avoiding insects attack and preventing diseases on crops trough generative AI.
The proposed solution leverages existing passive boards for Digital transformation with custom workflows which offer good user experience.
AI based video analytics
CamOS is a surveillance camera management app built on Ant Media Server, empowering enterprises to establish private cloud camera solutions
In remote learning, provide insightful guidance on lab equipment as auto-generated lessons via object detection and artificial intelligence.
No one has time to play hide and seek with lost/misplaced items, so let's get a robot to find them instead!
Speech-recognition, LLM and text-to-speech and a 6-axis manipulator combine to make a fully-interactive GLaDOS from Portal!
A modern chess clock which you can configure by voice commands and which can track moves automatically via computer vision.
Defending Bicyclists from Erratic Drivers with Computer Vision and mmWave Radar
Tomatoes classifier using Jetson Nano, Edge Impulse and/or Yolov7
Drones equipped with high-resolution cameras capture images of bridge structures, which are then analysed by Artificial Intelligence.
A GEN AI-driven system to automate wrist X-ray report generation, integrating ML for fracture detection and NLP for report creation.
An object detection method using MobileNetV2 in Edge Impulse on Nvidia Jetson Nano to detect the pedestrian in blind spot region.
An Nvidia Jetson Nano computer vision project with TensorRT acceleration, to perform counting for manufacturing quality control.
Eases high-performance, customizable app development for practical, engaging uses with NVIDIA's DeepStream.