Penglihatan Komputer Jobs

Resistance High Vision est une application de bureau professionnelle de vision par ordinateur en temps réel, conçue pour transformer n'importe quelle webcam en un système d'analyse visuelle intelligent : détection d'objets, suivi persistant, estimation de distance, et reconnaissance faciale — le tout dans une interface fluide et personnalisable. Développée en Python pour l'interface et l'orchestration, avec un noyau de calcul en C++ (fusion via pybind11) pour les opérations numériques critiques, l'application allie accessibilité de développement et performance native. Fonctionnalités clés Domaine Capacité Détection multi-source Repère automatiquemen...

SmartFit is an AI-powered web application designed to help users determine the appropriate clothing size using their camera and body-pose analysis, reducing the uncertainty involved in online clothing purchases. The application uses computer vision and pose estimation to analyze a user's body structure through a live camera feed. It uses TensorFlow MoveNet, which detects 17 body keypoints in real time, such as the shoulders, elbows, hips, knees, and ankles. MoveNet is specifically designed for fast real-time pose estimation, making it suitable for browser-based interactive applications. How SmartFit works User opens the SmartFit application The user accesses the application through a web browser. The camera is activated for body analysis. Body detection The camera captures the user&...

Development and Testing of an AI-Based Computer Vision Trip and Fall Detection System 1. Invitation to Tender Transpix AI invites technology providers to submit proposals for the development and testing of an Artificial Intelligence (AI) and Computer Vision solution capable of detecting trips and falls in a controlled testing environment. The project will commence on 1 Sep 2026 and conclude on 19 December 2026. 2. Project Background The objective of this project is to develop an intelligent computer vision system that can automatically detect trip and fall events using video data. The system should utilise modern AI techniques to distinguish between normal activities and fall-related incidents while minimising false alarms. The project will focus on algorithm development, model train...

We are looking for remote contributors based in South Asia, Africa, East & Southeast Asia, Europe, South America, North America, Middle East, and Australia to participate in a large-scale facial data collection project to support next-generation machine learning and identity verification systems. What You Will Do (Total of 24–30 Images): You will need to capture and upload a structured set of photos using your smartphone: Current Front-Facing Selfies (4–6 photos): Captured at arm's length under clear, bright lighting with a natural or slightly smiling expression. Current Head-Pose Selfies (4–6 photos): Captures of your face rotated at specific angles (tilting up/down or turning left/right). Historical Photos (12–18 photos): Genuine, older pictures of y...

I’m building an in-house setup that measures fabric length, width and overall size straight from a live camera feed. I already have the camera hardware in place; what I’m missing is a reliable Python solution—preferably based on OpenCV or a similarly robust library—that can: • Detect the edges of the fabric in each frame, • Convert pixel counts to real-world units using a reference marker, and • Return clear text output with the exact dimensions for every sample we capture. Accuracy is critical; the readings need to stay consistent even if lighting shifts slightly or the cloth pattern varies. A short calibration routine at start-up is fine as long as it’s quick and repeatable. Deliverables 1. Well-commented Python code (stand-alone or Jup...

AI-Controlled XYZ Writing Plotter + Camera System Project Goal I am looking for a developer to build a reliable, plug-and-play system that allows an AI/LLM running on a Windows PC to control an XYZ writing/drawing plotter and view a tablet through a camera. The goal is for the plotter to use a capacitive stylus to physically interact with a tablet touchscreen. The system should be capable of: Tapping specific locations Swiping Selecting buttons/icons Typing using an on-screen keyboard The intended workflow is: User Command → AI/LLM → Camera Observation → Plotter Action → Camera Verification I should be able to give the AI a normal-language command. The AI should interpret the command, view the tablet, determine the necessary actions, physically perform those acti...

Develop an AI Memorial Companion App with Real-Time Animated Face, Voice Cloning, AI Conversation & Memory Project Description I am looking for an experienced AI/mobile app development team or highly skilled developer to build the first version of Aevomi, an AI-powered memorial companion application. The purpose of the app is to allow users to preserve memories of loved ones who have passed away and interact with an AI-generated animated digital representation of that person. This is not intended to be a traditional chatbot. The main experience should feel closer to having a face-to-face video conversation with a personalized AI representation of the loved one. Core User Experience A user should be able to create a memorial profile for a deceased family member, friend, mentor, or...

I’m looking for an **expert Computer Vision / YOLO specialist** to optimize my existing object detection model. I already have: * PC with NVIDIA GPU * Dataset and annotations * Training environment/setup * Existing YOLO model and baseline results ### What I need I need someone experienced who can **analyze the dataset and model, experiment with training parameters, augmentations, image size, batch size, learning rate, model configuration, etc., and achieve the best possible results.** This is **not just a training job**. I want someone who can analyze false positives/negatives, identify weaknesses, run experiments, compare results, and intelligently tune the model. Remote access to my PC will be provided. **Experience with YOLO, PyTorch, object detection, small-object/drone de...

Development of an OCR-Based Industrial Vision System using NVIDIA Jetson Orin Nano About Us We are an industrial automation company specializing in robotic palletizers, case packers, end-of-line automation and custom machinery. We are building a reusable machine vision platform, and this OCR project is Phase 1. Project Objective Develop a robust OCR application for NVIDIA Jetson Orin Nano using a camera to read printed alphanumeric characters. The architecture should be modular and reusable for future barcode, QR, AI inspection and robot guidance applications. Hardware Platform  NVIDIA Jetson Orin Nano Developer Kit  Raspberry Pi HQ Camera (Sony IMX477) or equivalent CSI camera  LED illumination  C-Mount Lens  Future migration to Basler industrial camera Scope of Work Camera Integrat...

**Job Title:** Computer Vision / Roboflow Expert – Fine-Tune Model for PPE & Kitchen Hygiene Violations **Project Description:** We are developing an AI-driven restaurant and kitchen safety monitoring system. We need an experienced Computer Vision & Deep Learning Engineer to build, annotate, and fine-tune a high-accuracy object detection/segmentation model (using Roboflow and YOLO models like YOLOv8/v11) to accurately detect specific hygiene violations in real-time CCTV feeds. **Key Challenges & Core Requirements:** 1. **Glove Compliance:** * Detect bare hands vs. gloved hands (handling fine-grained vision tasks on food prep surfaces). * Accurately flag "No Gloves" violations when staff are touching/preparing food. 2. **Proper Mask Wearing:** * Detect prope...