OpenCV Jobs

I have a custom-built X-ray system dedicated to mango grading. The control electronics expose a Python API that streams 16-bit radiographic frames at conveyor speed and can fire an air-jet gate on command. What I need next is a production-ready program that • ingests each frame in real time, • detects spongy, internally damaged or otherwise bad fruit with high precision, and • sends the gate signal fast enough to remove the defect before the next fruit arrives. You are free to design the detection pipeline—classical CV with OpenCV or a small CNN in TensorFlow/PyTorch—as long as it runs on the on-board GPU (NVIDIA Jetson Xavier) and meets the timing budget of 60 ms per fruit. I will supply a labelled image set of good vs. spongy mangoes for training and a li...

I need a lightweight, reliable identity-verification flow added to my existing web application. The user must be prompted to upload a clear photo of a government-issued ID; once submitted, the image should be checked for authenticity and the result (pass, fail, or manual review) returned to my database in real time. Please wire it to the UI I already have in place and keep the interaction smooth on both desktop and mobile. You are free to call an external service such as Onfido, Veriff, or a custom OpenCV/Python solution, as long as you reach comparable accuracy and provide full API documentation. Deliverables • Functional photo-ID upload and verification endpoint • Front-end hook that triggers the flow and displays status updates • Callback that stores the verific...

Python/OpenCV Developer for Mobile Game Automation (macOS) I am looking for a Python developer with experience in computer vision and automation to build a bot for a mobile mini-game. The game runs on an iPhone that is mirrored to my Mac using iPhone Mirroring (macOS Sequoia). The bot would run on macOS and interact with the mirrored game window by detecting visual elements and triggering clicks. There are a few mini-games in the app. Each game lasts about 30–60 seconds. Example mini-games: Timing Game: A meter moves back and forth with a white indicator. When the indicator reaches a colored zone (orange or purple), the bot should click at the correct moment. The closer the click is to the center of the zone, the higher the score. Mole Game: Moles appear on screen and need to b...

Project Overview: I am seeking a highly skilled n8n Automation Expert to develop and deploy a sophisticated, end-to-end content generation engine on my own n8n instance. The goal is to automate SEO-optimized article writing, AI image creation, and multi-platform social media distribution while using Google Sheets as a central database for content management and duplication prevention. Required Workflow & Technical Logic: Smart Trigger & Duplicate Prevention (Google Sheets): The workflow must run on a Cron Job (scheduled). Before generating any content, the system must query a specific Google Sheets file to ensure the topic or title has not been used previously. After a successful run, the workflow must append the new Title, Date, and WordPress Post URL to the sheet to prevent ...

I want to see a working proof-of-concept that can watch a live webcam feed in an indoor setting and reliably decide whether someone is merely holding a phone or actively using it. The prototype must process the video stream in real time, recognise the presence of a smartphone, then look for behavioural cues—hand placement, posture and, ideally, gaze direction—to confirm active usage. Whenever the model judges that the phone is being used, it should trigger an audible or visible alarm on the host machine instantly; no other logging or alert channels are required for this first iteration. I am happy for you to choose your preferred computer-vision stack (e.g. OpenCV, MediaPipe, PyTorch, TensorFlow, ONNX) as long as the end result runs on a typical workstation without specialise...

I want to see a working proof-of-concept that can watch a live webcam feed in an indoor setting and reliably decide whether someone is merely holding a phone or actively using it. The prototype must process the video stream in real time, recognise the presence of a smartphone, then look for behavioural cues—hand placement, posture and, ideally, gaze direction—to confirm active usage. Whenever the model judges that the phone is being used, it should trigger an audible or visible alarm on the host machine instantly; no other logging or alert channels are required for this first iteration. I am happy for you to choose your preferred computer-vision stack (e.g. OpenCV, MediaPipe, PyTorch, TensorFlow, ONNX) as long as the end result runs on a typical workstation without specia...

Poker Vision and GTO Analysis Tool — Developer Specification Objective Develop an offline application that analyzes recorded poker footage, screenshots, or manually entered hand data to detect the game state and generate GTO-based recommendations for post-session review and training. The system is intended for study and hand analysis only. It must not provide live in-game assistance. Scope The application should: • Detect hole cards, community cards, player positions, pot size, bet sizing, and approximate stack sizes from recorded media. • Reconstruct the full hand state in a structured format. • Pass the reconstructed state into a GTO analysis module or solver-based recommendation engine. • Display recommendations, alternative lines, and relevant metrics...