Here, I will be implementing a machine learning model on a remote Raspberry Pi connected over a cellular module.
AI-powered vision on Raspberry Pi Zero 2 W with Sony’s IMX500—ideal for lightweight, low-power vision application
Using a TI TDA4VM, RTSP streaming, and an Edge Impulse model, monitor the status on your factory equipment and take action when needed.
Driver ID, location/velocity data, seatbelt, aggressive driving and alcohol detection for Fatal Accident Risk Mitigation (FARM) in vehicles.
Create an intrusion detection system using a machine learning model with TinyAutomator on a Raspberry Pi!
Sight Buddy seeks to integrate embedded components to deliver novel solutions using AI tools for users with visual impairments.
Boosting safety with computer vision Detecting obstacles in real-time saves $40K, safeguarding conveyor systems and preventing costly damage
Multi-stage inference with Edge Impulse/Tensorflow Lite - Raspberry Pi 4 Compute Module
This device is a conveyor, at the input of which raw grain enters, and at the output we get grain clean from dirt.
How to use low-cost MCUs to run object detection models and object tracking algorithms. Edge Impulse FOMO and Arduino are used
Human brain tumor detection for Edge impulse FOMO
The ML model uses Edge Impulse's FOMO (Faster Objects, More Objects) to detect and differentiate which players are playing & the coordinates
To tackle dorm laundry hassles, we took pics and trained models to monitor washers using the Seeed Vision AI Module v2 & Xiao ESP32S3.
Cargus monitors the baby car seat. If it detects a baby in the car seat and an idle car, it will send a text message to the parent.
Third eye is an assistive device for the visually impaired that integrates face recognition model, OCR & Translation system (7 languages)
Aquarium dwarf shrimp object detection. Utilizing polygon zone from roboflow supervision to track and count shrimp in feeding area.
Interface ultrasonic sensor (hc-sr04) with arduino.
An open-source wheeled robot, controlled by the KR260 SoC, designed for cost-effective multispectral plant monitoring in agriculture.
Count and analyze different inventory products using an Edge Impulse YOLOv5 model and deploying it to Renesas RZ/V2L Evaluation Board Kit
Detecting IC, LED & resistors using GRove AI & Edge impulse
Hey there meet the 30-40 finder, why 30-40? Well it monitors between a distance of 30 cm and 70 cm and so got a fancy name for it.
Counting people at different checkout lines using an Edge Impulse YOLOv5 model and deploying it to Renesas RZ/V2L Evaluation Board Kit
An ultra‑low‑power, event‑triggered AI camera powered by the ESP32‑S3 for image capture.
Isn't it cool to have small drone which is capable of observing surrounding for many kind of possible threats?
