OpenCV Jobs

I need a complete, low-cost prototype of an AI-powered cotton-harvesting robot for a final-year project demo. The unit must detect ripe bolls with YOLOv8 running in Python/OpenCV, plot a path toward each target, and trigger a vacuum-based suction module that gently removes and stores the cotton. An ESP32-CAM provides onboard vision; motor drivers and sensors handle locomotion and arm movement. FastAPI can expose status and control endpoints so the demo laptop or phone can monitor performance in real time. The showcase hinges on two points: 1) the system’s observable functionality in a small, controlled test bed and 2) its ability to keep working reliably under repeat runs—our “working condition” highlight. While the final deployment might be in open fields or green...

I need a small web-based bot that looks at a live camera feed of a country road and tells me, with reasonable confidence, whether a chicken is about to step onto the asphalt within the next few seconds. The model should run in real time, push its verdict to the page instantly, and refresh continuously while the stream is active. Here is the flow I have in mind. A browser tab shows the video; your back-end service—Python with OpenCV or a similar CV library is fine—grabs each frame, applies the trained model, and returns a simple “Likely to cross / Unlikely” flag plus a probability score. I am comfortable hosting on a basic VPS, so please keep deployment lightweight (Docker container or similar). If TensorFlow, PyTorch, or YOLO is your preferred stack, go for it. I ...

I have an AI-driven security application running on Ubuntu that is already feature-complete but still unstable. During live tests on my machines in Ashok Vihar, Delhi the service crashes without warning, so I need a coder who can step in, implement and work on bugs on the go. The codebase is organised in several files and scripts. Your task is purely bug-fixing during implementation; no new features are required right now. Expect to read logs, reproduce crashes, isolate root causes and patch the offending modules so the application runs continuously under normal load. Key points • Environment: Ubuntu 20.04 LTS (local systems ready for you to access or work onsite in Ashok Vihar). • Nature of issue: crashes / runtime errors; occasional core dumps. • Stack: predominant...

I am building an Android-only mobile application that puts intelligent video editing directly in the user’s pocket. The core engine must use on-device AI to: • Automatically trim raw footage into meaningful segments • Detect scene changes and tag each scene for quick navigation • Offer a palette of real-time filters and effects that can be layered before export A moderately detailed interface is ideal: clean timeline, quick-access buttons for the three smart actions above, and a preview window that updates instantly as the user scrolls through scenes or toggles effects. No crowded menus, yet enough visual cues to feel professional. Please structure the code in Android Studio (Kotlin or Java) and keep inference on the device with frameworks such as TensorFlow L...

I need a robust real-time face recognition solution that keeps working even when cameras are pointed straight into bright daylight. The system will be deployed both indoors and outdoors, so it must automatically adapt to sudden lighting changes as people move between shaded areas, hallways, and direct sun. My main expectation is a working prototype that can: • Detect and recognize faces with high accuracy under intense glare and shifting shadows. • Run live on-site (edge device, GPU box, or similar) with latency low enough for surveillance use. If you already have experience mitigating over-exposure, bloom, or lens flare with clever preprocessing, specialized sensors, HDR pipelines, or training tricks such as illumination-invariant embeddings, please let me know. OpenCV...

Saya memiliki serangkaian foto yang warnanya kurang konsisten—beberapa terlalu pucat, sebagian lainnya terlalu gelap. Saya membutuhkan bantuan untuk memproses data gambar tersebut sehingga setiap foto tampil bersih, seimbang, dan siap dipublikasikan. Ruang lingkup pekerjaan: • Terima kumpulan foto mentah (.jpg dan/atau .png). • Terapkan teknik color correction (white balance, exposure, saturasi, kontras) secara presisi. • Pertahankan detail asli tanpa menimbulkan artefak atau noise berlebih. • Kembalikan file final dalam format dan resolusi asli, serta sertakan versi terkompresi untuk web apabila memungkinkan. Harapan hasil: foto‐foto dengan tone warna natural, konsisten antarfoto, dan siap digunakan di situs web serta media sosial. Jika Anda memilik...