Raspberry Pi Jobs

I have a project: Title: Duck Recognition Art Installation Project Description: This interactive art installation uses AI technology to identify how closely a person resembles a duck. The system will be built on a Raspberry Pi platform with a camera module and an AI-based object detection model. When the AI detects that a person looks like a duck with 50% certainty, an electric motor will animate a model duck flapping its wings. Project Components: 1. Develop an AI-based object detection model to recognize if a person looks like a duck with 50% certainty. 2. Set up the Raspberry Pi platform with a camera module for image capture and analysis. 3. Create a real-time image analysis system to determine how much a person resembles a duck. 4. Connect the electric motor to the Raspberry Pi and...

A raspberry pi 4 is connected to a pixhawk 6 flight controller running px4 autopilot. Raspberry Pi is equipped with a Picamera V2 in order to recognise a target and calculate the error angles angle_x, angle_y. I want a python script that continuously runs, and sends these two angles to the px4 autopilot, in order to execute precise landing. The python script that detects the target and calculates the angles has already been developed.

We are seeking an experienced Computer Vision Expert with experience in multiple CV projects. This position requires expertise in Raspberry Pi, computer vision, NoIR cameras, and AI/ML techniques. Please note that this project focuses on detecting changes in pupil dilation and contraction, as well as tracking blinking patterns, using dedicated cameras for each eye. The camera will not be detecting the eye from the face mesh or landmarks; instead, it will be solely focused on each individual eye. The successful candidate will be responsible for implementing a project almost similar to these articles: For a visual reference, please see this video: Requirements: • Experience working with Raspberry Pi and NoIR cameras • Expertise in computer vision and AI/ML techniques • ...

Raspberry Pi is set up to take pictures of plants and these photos are then sent to AWS Image Recognition. AWS Image Recognition's job is to analyze whether the plant in the image is healthy or not, and to identify if there are any insects present. However, AWS Image Recognition can't do this on its own. It needs to be taught with data sets and a .csv file: first the Raspberry Pi takes photo of any plants, and this photo goes to the AWS Image Rekognition. then the trained model recognises any sickness of plant and report it back! that is all

We are seeking a highly skilled and creative Industrial Designer or Engineer for a short-term contract/project. The primary objective is to design a housing for a Raspberry Pi that can be securely mounted to a HoloLens (HL) device. This project involves incorporating a camera attachment onto the front of the HL, necessitating the design of small arms extending from the Raspberry Pi to the cameras. Qualifications: • Knowledge or access to a HoloLens device (preferred but not mandatory) • Mandatory: Extensive knowledge and hands-on experience with Raspberry Pi development • Mandatory: Previous design experience with Raspberry Pi and the ability to develop custom solutions • Experience with RPi camera technology would be highly considered • Proficiency in product de...