
Fechado
Publicado
I want a desktop-based vision solution that watches any TV, computer monitor, or public display in real time and notifies me the moment someone steps in front of it and tries to take a photo. The core may rely on YOLO or straight OpenCV or Any—whichever gives the fastest, most reliable detection. How it should work • A camera connected to my desktop continuously analyses the scene. • When a person holding up a phone (or clearly preparing to photograph) is detected, the system must: – Crop the frame (or short clip) so the person is centred. – Timestamp it. – Dispatch the alert simultaneously to Telegram, WhatsApp, and Email or Any platform. Key expectations • Sub-second latency between detection and alert. • Clean, well-commented source code (Python preferred) plus a [login to view URL] and set-up guide so I can recreate the environment. • Simple JSON or YAML config file to let me adjust confidence thresholds, camera source, and messaging credentials without editing code. • Tested across the three display types listed above; false positives should be minimised. • A quick demo video or live screen share proving the system works end-to-end. Acceptance criteria 1. Running the main script starts live detection with visible bounding boxes. 2. Holding a phone up in front of a TV, monitor, or large public-style display triggers an alert in all three channels within one second. 3. The alert contains the cropped image and readable date/time stamp. 4. Exiting the script cleanly releases the camera and shuts all processes. If you already have pretrained YOLO weights for “person-with-phone” or can fine-tune quickly, even better; otherwise, propose how you’ll gather or augment data. I’m ready to test as soon as you have an MVP, then iterate together for robustness.
ID do Projeto: 40182628
19 propostas
Projeto remoto
Ativo há 10 dias
Defina seu orçamento e seu prazo
Seja pago pelo seu trabalho
Descreva sua proposta
É grátis para se inscrever e fazer ofertas em trabalhos
19 freelancers estão ofertando em média ₹976 INR/hora for esse trabalho

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr
₹1.500 INR em 40 dias
7,2
7,2

I’m WiredAI, and we’ve already built similar real-time vision monitoring systems with YOLO/OpenCV and sub-second alerts. This project needs deep CV, optimization, and deployment expertise—an individual developer can’t deliver the same reliability or scalability. I’m a strong fit to deliver a fast, clean, well-tested solution end-to-end. Let me know when you’d like to discuss.
₹1.000 INR em 40 dias
1,4
1,4

As an experienced Full Stack Developer, I offer not only the technical expertise but also a deep understanding of various platforms and systems you're looking to integrate. My skills in PHP and Python align perfectly with the core technologies you've mentioned, including YOLO, OpenCV, and JSON/YAML configuration. Moreover, my familiarity with backend systems, cloud deployment, and AI automation will ensure a seamless integration of the alert system into your existing infrastructure. I understand that sub-second latency and false positive minimization are critical. Using my skillset, I can deliver on these expectations by designing efficient algorithms and intelligently leveraging pretrained models to boost the detection accuracy of 'person-with-phone' scenarios. Notably, I have prior experience deploying AI-powered vision solutions like this for clients. In addition to the technical complexity, a project as crucial as this also requires effective communication to iterate together for robustness. Sharing updates and getting your feedback is central to my work process. As we progress, I'll be happy to provide live demonstrations or quick demo videos through reliable channels like screen shares.
₹800 INR em 40 dias
0,4
0,4

Hello, I’m Ankur, a freelance developer with a dedicated team of professionals. I read all your requirements for Website and I assure you that I will provide high-quality work at the proper time. Additionally, we also provide you 3 months of support from our side. As a Full Stack Developer, I specialize in Web and App Development, boasting a portfolio of stunning projects with top-notch UI/UX design. My expertise spans Flutter (for both Android and iOS), PHP, and WordPress, and I bring over 7 years of experience to the table. Whether it’s websites, applications, or e-commerce platforms, I’ve got you covered. But I’m not limited to just coding. My skill set extends to graphic design and logo creation, offering you a one-stop solution for all your project needs. With a track record of over 500 completed projects, I am committed to delivering nothing short of excellence. My ultimate goal is your complete satisfaction. Thank you for considering me for your project. I’m ready to transform your vision into a reality that stands out in today’s competitive landscape. Best Regards, Ankur Hardiya
₹1.000 INR em 40 dias
0,2
0,2

Hi, I’m AI/ML & Full-Stack Developer specializing in Agentic AI systems and intelligent automation. We can train a YOLO model for this task. On every person-with-phone detection, an alarm will be raised. I’ve handled similar projects before; my portfolio is available on my profile. PRICE NEGOTIABLE ➡️ Fast delivery | 100% satisfaction
₹750 INR em 40 dias
0,3
0,3

I can build a low-latency desktop vision system using YOLO/OpenCV that detects a person attempting to photograph a screen, crops and timestamps the frame, and sends instant alerts via Telegram, WhatsApp, and Email. The solution will be sub-second, configurable via JSON/YAML, well-commented in Python, tested to minimize false positives, and delivered with setup docs plus a working demo. Ayan
₹750 INR em 1 dia
0,0
0,0

With over 5 years of full stack development experience to my name, I am confident that I have the necessary expertise to not only meet, but exceed your expectations for this project. Throughout my career, I have specialized in developing state-of-the-art solutions by leveraging AI, automation, and sophisticated algorithms and your Display Content Capture Alert System falls right into that wheelhouse. As a proficient user of Python, it will be a seamless task for me to implement the core vision solution as well as provide an intuitive and highly configurable API interface using either JSON or YAML format. Furthermore, my track record in designing and building applications that are robust, scalable, and perform optimally bodes well for your key expectation of sub-second latency. Lastly, let's not forget my experience with different types of displays which has enabled me to iron out any false positives and achieve high accuracy across the board. I'm good at problem-solving and open to frequent iterations throughout the developmental process; this guarantees we'll achieve the most efficient and effective system possible. Partnering with me for this project means choosing top-notch talent who delivers promptly.
₹1.000 INR em 40 dias
0,0
0,0

Develop a desktop-based computer vision system that monitors any TV, computer monitor, or public display in real time and instantly detects when a person attempts to take a photo, triggering immediate alerts. I already deploy this type of project .
₹900 INR em 40 dias
0,0
0,0

I have reviewed your requirements for a desktop-based real-time vision system that detects when someone attempts to photograph a TV, monitor, or public display. Why I’m a strong fit for this task: - I specialize in real-time computer vision systems where speed, accuracy, and stability are critical. - I have successfully deployed the latest YOLO version (v26) in recent projects, delivering impressive detection accuracy and sub-second response times in demanding, real-world scenarios. - I focus on behavior-aware detection, not just object presence, to minimize false positives and ensure alerts are triggered only when a genuine photographing attempt occurs. - I deliver clean, well-documented Python code with clear setup instructions, making the system easy to run, test, and extend. Execution plan: - Continuous live analysis from a desktop-connected camera. - Real-time detection with visible bounding boxes. - Instant frame cropping and timestamping upon detection. - Simultaneous alerts to Telegram, WhatsApp, and Email within one second. -Clean exit with proper resource release. I’m confident this approach will meet your performance and reliability expectations, and I’m ready to begin immediately.
₹750 INR em 35 dias
0,0
0,0

Chavatagunta, India
Membro desde jun. 30, 2025
$8-15 USD / hora
₹600-5000 INR
$30-250 USD
€30-250 EUR
₹37500-75000 INR
₹12500-37500 INR
$30-250 USD
$250-750 CAD
₹12500-37500 INR
$15-25 USD / hora
₹600-1500 INR
₹1250-2500 INR / hora
$250-750 USD
$15-25 USD / hora
$30-250 USD
$30-250 USD
₹12500-37500 INR
$30-250 USD
₹600-700 INR
$30-250 USD