Looking for a developer to create software for a video surveillance system.
Project Description:
A video surveillance system is required for a private house with 6–8 IP cameras, featuring recording, object detection, face recognition, audio analytics, and integration with a Telegram bot. The system operates 24/7 on specified hardware (laptop with Xeon E-2176M, 32 GB RAM, Nvidia Quadro P5000, Google Coral TPU, HDD for archiving).
Main Tasks:
Receiving and recording RTSP streams (FullHD + Sub Stream) from 6–8 cameras, storing video on HDD.
Object detection (person, car, animal) on Sub Stream using Google Coral TPU (MobileNet SSD/YOLO, TF Lite).
Face recognition on Main Stream (CPU/GPU), comparing with the "Own" database.
Audio analytics: volume detection, optionally — sound classification.
Configurable rules: triggers by time, zones, objects, faces, sounds.
Telegram bot: alerts (text, screenshots, video), commands (/status, /get_event), adding faces to the database.
Optionally: web interface for configuration and viewing.
Logs, API (RESTful), containerization (Docker).
Requirements for the Performer:
Experience with Python (OpenCV, TensorFlow Lite, PyTorch/TensorFlow), knowledge of Go/C++ as a plus.
Skills in working with RTSP (GStreamer/FFmpeg), FastAPI/Flask, PostgreSQL, python-telegram-bot.
Understanding of ML/CV: object detection, face recognition, optimization for TPU/GPU.
Experience with Docker and setting up 24/7 systems.
Ability to work with specified hardware (laptop + Coral TPU).
Conditions:
Format: Remote work.
Deadline: To be discussed, priority — quality and stability.
Result: Source code with comments, Docker container or installation instructions, demonstration on target hardware.
To Respond:
Please send your resume/CV (or team portfolio).
A brief description of relevant experience (work with CV/ML, RTSP, Telegram bots).
Links to projects or repositories (if available).
Contacts: Send responses to [specify email or exchange form].
We will consider candidates within 5 working days.
Note: We are looking for a responsible performer/team with experience in ML/CV and integration of complex systems. We are ready to discuss details and budget with suitable candidates.
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30 days2500 USD
949 10 0 30 days2500 USDAlexandr, good afternoon!
I think you have complicated the project a bit — perhaps it can be simplified. For example, the analysis can be conducted on the main equipment, but only while in motion. This will allow for logging, which will simplify subsequent searches, and provide an understanding of what happened and when, and who came.
I might be wrong — I would be happy to hear your arguments.
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25 days3000 USD
144 25 days3000 USDHello, my name is Javid.
I will create a 24/7 video surveillance system with RTSP streams, Coral TPU, facial recognition, and a Telegram bot.
I have experience with OpenCV, TFLite, python-telegram-bot, RTSP, Docker. I will implement recording, alerts, rules, and a web interface.
Rate $30/hour
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25 days3000 USD
290 1 0 25 days3000 USDGood afternoon. I am ready to complete the task.
I have experience in implementing similar projects.
My portfolio:
Freelancehunt
I will develop a video surveillance system with the necessary functionality.
There will be object detection, face recognition, and audio analytics features. I will connect a Telegram bot. I will integrate the necessary integrations. I will create a user-friendly interface.
I will optimize it. I will do the deployment and provide documentation for deployment.
Write to me, we will discuss the details and I will start working.
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60 days3500 USD
1388 4 0 60 days3500 USDGood day!
I am ready to take on the development of this system. The project is large and complex — I propose a phased implementation with regular testing on your equipment.
Timeline: 6–9 weeks (depending on the complexity of audio analytics and facial recognition integration) Budget: from $3200
During the work:
- I will set up the reception and recording of RTSP streams
- I will implement object detection on the Sub Stream with Coral TPU
… - I will integrate facial recognition on the Main Stream
- I will add audio analytics (for example, the first release — a basic loud sound detector)
- I will integrate a Telegram bot for notifications and control
- I will implement video archiving and rotation
I have experience working with Python, OpenCV, TensorFlow Lite, GStreamer, FFmpeg, Google Coral integration, and Telegram Bot API.
I am ready to discuss the details and create a technical specification before starting.
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Проект комерческий или частный??? Суть вопроса нужна для понятия можно ли использовать сторонние наработки или код должен быть полностью уникальный
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Проект коммерческий, желательно все своё
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Использование Google Coral TPU пренципиально?
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Нет, рассматриваем разные варианты и предложения
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Если вас не затруднит можно пару дней подумать. Задача обьемная многое нужно учесть и продумать. Выполнял похожий проект с подобным функционаллом (автоконтроль везда и выезда на платной стаянке по номеру машины) но там была все таки частная разработка и использовались частично сторонние методы.
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Тем более я так понимаю вам нужна будет самообучаемая система для контроля свой чужой со сменной базой
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