We will learn step by step, how to use a PiCam to recognize faces in real-time.
IoT Raspberry Pi security camera running OpenCV for object detection. The camera will send an email with an image of any objects it detects.
A motion tracking airsoft or Nerf gun turret with autonomous and manual operation modes, controlled by a Raspberry Pi.
Version 2 of my lane detection system!
Facial recognition and identification on a Raspberry Pi, connected to the Internet of Things using the IoT JumpWay MQTT Library.
A pan/tilt servo device helping a camera to automatically track color objects using vision.
A simple lane detection system I had developed a while back.
Using the TensorFlow Lite library, we can flash tiny machine learning models on an Arduino to detect humans from a camera.
Using AI to detect dangerous bacteria and harmful particles in the water.
Object recognition and detection for visually challenged people!
Perform facial recognition on a doorbell camera and announce who is home over text-to-speech. All data capture and processing is local.
Using AI to detect and monitor objects, then to connect and record it on the IoT platform.
Get started with TensorFlow object detection in your home automation projects using Home-Assistant.
Simple road lane detection on Raspberry Pi 3 using OpenCV and Python. Frame rates obtained up to 17 FPS.
Pose estimation on a Raspberry Pi to guide and correct positions for any yogi.
Donkey Car featuring the Ultra96 board, a Raspberry Pi, FPGA accelerated stereo vision, MIPI CSI-2 image acquisition, a LiDAR sensor and AI.
Use computer vision to control a Nerf gun, aim, and fire, all on its own!
Jetson Nano is a star product now. Here is an unboxing article of details of the product, the process to start-up, and two visual demos…
Turn your refrigerator into a smart home IoT device using computer vision and voice.
This project used as arduino interface to control the motors, and the Creator Ci20 as image processor with a script in python.
A camera that describes your pictures to you instead of just showing them.
We collaborated with Nanonets for automation of remotely monitoring progress of a housing construction project in Africa.
Using Azure IoT Edge on Nvidia Jetson Nano with Time Series Insights to detect objects in video feeds with offsite recording to the cloud.
Kindbot packs an app, sensors, voice-control, and state-of-the-art computer vision to eliminate guess work & maximize yields.