Upgrade ROS from programmed to perceptive. LanderPi fuses LLMs with 3D vision and LiDAR to master autonomous reasoning and intent.
Our device aims to provide physical as well as mental stimulation in the largely isolated confines of our new COVID-19 reality.
A TinyML solution that detects parcels using Computer Vision for monitoring them and identify when they go missing
A project for the detection of crop diseases using computer vision techniques for agriculture industries.
This project presents a Smart Lock that uses ML to detect Authorized faces. This ML Model runs on the Edge with no need for backend server.
A Beekeeper's helper, for keeping a sense of hive growth in the winter, with ML, LoRa, and Cellular connections.
A tinyML vision model that can classify pictures of people based on whether they are wearing a mask or not.
Pioneering healthcare tech merges technology with medical care, exemplified by AVR-IoT Cellular Mini, remote health monitoring.
Unobtrusive device, monitoring our in-car movements, making our car journeys safer.
Simulated edge agent that reads logs, diagnoses failures, and sends one fix over satellite instead of raw telemetry.
Early detection of climate change by monitoring frogs
Raspberry Pi and Arduino versions of spray to sanitize, refresh, hydrate and soothe the skin of people with disabilities while traveling
This article introduces how a user built a data acquisition system and designed neural network to finish robotic imitation learning.
You are not to carry heavy bags anymore, cause this small vechcle named FOLLOWER can do it for you and follow you to anywhere!
This project is created to control the measures taken for control the expansion of covid19 and help to flat the curve
To counter poaching, triple event poaching flags classify three separate events simultaneously. These events are: motion, sound, and vision
Automatic License Plate Recognition Demo on the SAMA7G54-Ek Board
In this blog, we'll delve into the innovative use of the NVIDIA Jetson TX2 to power Retrieval-Augmented Generation (RAG) for LLMs
BeeGuard is an edge AI system that monitors beehive audio to detect stress conditions in real time and publishes alerts globally using MQTT.
Web app capable of detecting turns and braking quality with a smartphone accelerometer.
Learn how to create your own computer vision AI/ML model with Google Cloud (free trial) and the Gravio IoT Edge Computing Platform
An RC car with a Raspberry Pi running onboard vision and PID control for autonomous speed control and lane assist.
Optimizing Machine Learning models developed with Edge Impulse to boost Inference performance on RzBoard.
A wake word detection device built on top of a microcontroller, leveraging the convolutional neural network for speech recognition.
