Streaming Video Object Detection and Tracking: Raspberry Pi, Python, openCV

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Streaming Video Object Detection and Tracking: Raspberry Pi, Python, openCV

$750.00 – 1,500.00 USD

Hello Raspberry Pi Developers!

PLEASE READ this description very carefully. Take your time, I will not decide on a freelancer within hours. This is an AI camera detection project . If you are not expert in this field, please skip.

PLEASE READ the attached PDF document to this proposal. It has much more detail than this description.

ONLY APPLY IF you are fluent in Python on a Raspberry Pi. Must have exposure to openVC and using RTSP video streams from IP cameras.

MUST HAVE a Raspberry Pi 4 single board computer.

Scope of Project

To develop a vision-based autonomous system to detect migrating birds from the video stream of a thermal IP Camera. The video stream will be taken from the RTSP (Real-Time Streaming Protocol) of the IP camera. We have the camera and will provide you with a link to the RTSP video stream (winning bid).

For testing purposes you will need to work from saved video files that are located on our YouTube channel over the RTSP video stream since birds are not migrating currently. Links below to video clips of birds migrating in the 2022 fall season taken from the thermal IP camera.

The birds are small and at high altitude, and will appear and just dots on the screen (only a few pixels wide). We are looking for a developer to develop a Raspberry Pi 4 web server application to detect the individual birds from the RTSP video stream of the IP camera, count them, track the entry x,y position in the frame, and track the exit x,y position as it exits the frame, and store this data along with the time of detection in a database.

Example video footage of migrating birds taken from the IP thermal camera:

[login to view URL]

Development Framework and Strategy

The framework for the system should be web based. We should be able to access the application from a browser. Consider running the Pi code on something like Caddy Web Server. This is a Phase 1 development application for proof on concept. If we can get this performing well we will award a Phase 2 development for porting this code to a Cloud Web Server. Please keep this in mind developing this application.

Tasks to be Completed

1. Pull the RTSP video stream from the Thermal IP camera into openCV to be analyzed. (The link to the RTSP camera will be provide to the developer awarded this bid) Note: This should be a parameter we can change easily for different camera RTSP links.

2. Develop a live video detection algorithm using openCV to detect each bird coming into the frame and track the bird until it exits the frame. Since the birds are just dots you can use the openCV blob detection which should make this much simpler.

3. For each detection record the detection in a database which includes the x,y pixel position on the video frame that the bird enters the frame along with the time & date, and the x,y pixel position the and time & date the bird exits the frame.

4. Display the live video feed with boxes around the bird detected as they move across the frame.

5. Histogram display of detection data using something like [login to view URL], [login to view URL] Include a histogram of total detection's per day and another graph showing total detection per hour of each individual day.

6. Include a method to download the contents of the database by a date range in CSV format.

Deliverables

1. The source code will be put into a private GitHub repository. Login information to the private repository will be give upon the award of this project.

2. A Raspberry Pi image will be created that can easily be installed on to a SD card by using the Raspberry Pi Imager or balenEtcher.

Docker Compose JavaScript Linux OpenCV Raspberry Pi

ID Projek: #35856709

Tentang projek

17 cadangan Projek jarak jauh Aktif 1 tahun lepas

Dianugerahkan kepada:

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17 pekerja bebas membida secara purata $1168 untuk pekerjaan ini

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Nice to talk you PixCams, After reading in detail the requirements of your project and concluding that they match my areas of knowledge and skills, I would like to introduce myself. My name is Anthony Muñoz and I am Lagi

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Hi, We would like to grab this opportunity and will work till you get 100% satisfied with our work. Lets connect in chat so that We discuss further. Thank You

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sybacdesigner

Hi. How about you? I have just read your proposal and I am sure I can complete the project on time. I am an expert in ML/DL, Computer Vision who has 10+ years of experiences in Raperberry Pi and Python. Please contact Lagi

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abdf2010

Hi, I am a professional web developer and I can do this job for you. I have 5 years of experience in web development. I have done many projects like this. I can do this job for you. I can start right now. Please contac Lagi

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RubenBorja1988

Hello, I have read the job description and I am very interested in this job. I look forward to hearing from you. Best Regards, Jaime.

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This project requires an AI developer who is proficient in Python and has experience with openCV on a Raspberry Pi 4 single board computer. The goal is to develop a vision-based system to detect and track migrating bir Lagi

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Hi There, Good day! Hope you are doing fine. ⭐ I will work with milestone only and release money as per good work progress. ⭐ I have gone through your initial project requirement and understand your project details. Lagi

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Hey Good morning , Just finished reading the brief details and currently going through attached files . I see you have been looking for someone who has experience with these tech stacks Docker Compose, Linux, OpenCV, Lagi

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