We have compiled some of the most influential cases in 2023 to share here.
Using the power of LLaVA (Large Language and Vision Assistant) multimodel model to allow you to organise and find your images with ease.
It all started with a simple distance sensor, now drunks are detected with AI, reported with BLE and dispersed with dog barks.
VitiBox Cloud is a ground based image collection system designed for VitiVisor.
Use a Seeed Studio ReComputer and FOMO to detect if an operator has the correct ESD tools to handle electronic components.
To tackle dorm laundry hassles, we took pics and trained models to monitor washers using the Seeed Vision AI Module v2 & Xiao ESP32S3.
TinyAutomator brings the power of Waylay IO automation technology to the edge. Now combined with NVIDIA Jetson!
Aquarium dwarf shrimp object detection. Utilizing polygon zone from roboflow supervision to track and count shrimp in feeding area.
A computer vision-assisted system that accurately detects defects in pharmaceutical pills using Edge Impulse FOMO.
Pest infestation detection using Kria KV260
Stayfit assistant keeps you mindful of your well-being throughout the day.
Create a custom AI assistant with local data security and no usage charges in less than 50 lines of code
Controlling printed photo like digital photo
It automates the process of opening the lid of the dustbin only when a person is in front of the dustbin.
Detecting IC, LED & resistors using GRove AI & Edge impulse
This guide provides detailed steps on using Xilinx Vitis AI with Pynq and Python to create an inventory management system on the Ultra96-V2.
This project intends to demonstrate content-aware video cropping and converts 16:9 (horizontal videos ) to 9:16 (vertical videos)
Showcases the remyx model engine for custom image classifier to prototype mobile robotics with Luxonis OAK camera on a TurtleBot 3 Burger.
Share virtual experiences in real time through Holoportation
Run your AI and CV algorithms in online meetings such as Zoom, Meets or Teams 🚀 and by doing so, spread the love for computer vision! 💞
nav-IRIS is a project that uses Machine Learning to recognize traffic signs, interpret their meaning, and manage bot movement.
This case designs a project to play tic-tac-toe with robot arm, integrating computer vision and robotic control.
Building a more effective fire detection machine learning model by combining image and temperature sensor data.
Using embedded Vision AI for detecting reckless bravados trespassing and breaking proximity safety rules in Zoo
