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.
Version 2 of my lane detection system!
A motion tracking airsoft or Nerf gun turret with autonomous and manual operation modes, controlled by a Raspberry Pi.
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.
Donkey Car featuring the Ultra96 board, a Raspberry Pi, FPGA accelerated stereo vision, MIPI CSI-2 image acquisition, a LiDAR sensor and AI.
Pose estimation on a Raspberry Pi to guide and correct positions for any yogi.
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.
Blind people have a big problem: they can’t see. Blindsight simulates a novel sense of sight with haptic feedback vibration motors and ML.
A pan/tilt servo device helping a camera to automatically track color objects using vision.
Build your own small autonomous car with Android Things.
Object recognition and detection for visually challenged people!
Self-driving rover using computer vision and deep learning to identify and clean up small pieces of trash.
Kindbot packs an app, sensors, voice-control, and state-of-the-art computer vision to eliminate guess work & maximize yields.
Facial recognition and identification on a Raspberry Pi, connected to the Internet of Things using the IoT JumpWay MQTT Library.
Using AI to detect dangerous bacteria and harmful particles in the water.
Project ARIES - A system of intelligent and connected autonomous vehicles to provide an immediate response and action to emergency scenarios
We collaborated with Nanonets for automation of remotely monitoring progress of a housing construction project in Africa.
This project used as arduino interface to control the motors, and the Creator Ci20 as image processor with a script in python.
The project focuses on a real-time robust human detection and tracking system for video surveillance that can be used in varying situations.
Perform facial recognition on a doorbell camera and announce who is home over text-to-speech. All data capture and processing is local.
A camera that describes your pictures to you instead of just showing them.