Computer Vision Jobs

I am building a web-based SaaS that lets estheticians quickly scan a client’s photo, receive an instant professional skin analysis, book the appropriate facial treatment, and sell the products the scan recommends—all in one place. Core analysis: The algorithm must reliably detect acne or blemishes, dryness or oiliness, wrinkles or fine lines, combination skin, redness, and visible pores or texture issues. Accuracy and consistency are critical because treatment plans and sales will hinge on the results. Workflow vision 1. Client uploads or snaps a photo during an online consultation or in-spa visit. 2. The system runs the analysis, displays condition scores, and explains each finding in easy language. 3. Based on those scores it lists the facial services I pre-configur...

I need a solution to detect the presence of solar panels on existing roofs using satellite images. The primary analysis required is basic presence detection. I also need the addresses of each building to be able to send them mail regarding their solar panels. Requirements: - Detect solar panels using satellite imagery - Provide analysis on the presence of solar panels Ideal Skills and Experience: - Experience with image analysis and machine learning - Proficiency in handling and analyzing satellite images, especially in formats like GeoTIFF - Familiarity with GIS software would be an advantage Please provide guidance on the satellite images required for this task. Pilot project starting in community of Tuscany in Calgary, Alberta, Canada. There are about 6,500 buildings. We want to st...

I need a comprehensive book aimed at intermediate users that provides deep insights into the AI industry. The book should cover the following areas in detail: - Machine Learning - Natural Language Processing - Computer Vision The content should be engaging, informative, and reflective of current industry trends and future predictions. Ideal skills and experience: - Strong background in AI - Excellent research and writing skills - Experience writing for an intermediate audience - Ability to analyze and present industry insights

Title: Senior Android Developer: Hybrid Computer Vision Pipeline (Local ML + Gemini API) Project Description: We are seeking a Senior Android Engineer to develop a modular, high-performance infrastructure for real-time video capture and analysis. The core of the project is a "Hybrid AI Routing Engine" that intelligently switches between on-device local processing and high-depth cloud analysis. This application is an R&D prototype that must be Play Store Ready, with a heavy focus on background stability, thermal management, and seamless connectivity transitions. Technical Specifications: 1. Camera Pipeline & Intelligent Routing: Implement CameraX to ensure maximum compatibility across various Android OEMs (Samsung, Pixel, Xiaomi, etc.). Develop a Routing Engine to in...

Our project is to produce 6DoF films using a 46-camera rig. We have a hemisphere-shaped rig with 46 cameras (currently, we're only using 9 for testing). The cameras are distributed around the hemisphere and face outwards. This is important for the Colmap calculation. There are many overlaps in the images, but not between all cameras. The cameras on the far left and far right, for example, don't overlap. We built the rig in a 3D program and positioned the cameras quite precisely. We then exported the camera data to JSON using a script, which we then imported into Colmap as the start poses. We spent a long time developing a script that correctly exports the poses and imports and uses them correctly in Colmap. I'm happy to make this script available. Also, the JSON containi...

I’m building a cross-platform mobile app that acts as a personal styling and beauty assistant for both men and women. The core of the product is an AI engine that delivers highly-personalized outfit recommendations. Key functionality • The assistant studies three user-supplied inputs—body measurements, skin tone and face shape—and combines them with each person’s stated style preferences, their body type and real-time fashion trend data. • For every request it returns a clear set of outfit suggestions, indicating why each piece flatters the user’s proportions, complexion and current tastes. • A lightweight dashboard lets me update trend data, brand catalogs and style rules without redeploying the app. Technology expectations The re...

I want a single, turnkey application that watches my CCTV feeds, spots shop-lifters in real time, recognises grocery products on the shelves, and keeps a live head-count of customers. The core model must be YOLO, and I need the exact same code-base to compile and run on both Windows (desktop with NVIDIA GPU) and a Raspberry Pi 4. Video sources vary—some cameras stream RTSP over IP while a few older analog units reach the NVR through a capture card—so the program has to accept either type without manual re-configuration. For product recognition I care only about groceries; no clothing or electronics labelling is necessary. The model should be trained (or fine-tuned) on the most common supermarket items so false positives stay low even when shelves are crowded. Key expecta...

I'm looking to develop specialized software for an artillery correction system using a PTZ (pan-tilt-zoom) camera. The software should be capable of detecting and tracking static targets. Additionally, it should provide crucial correction data such as angular position adjustments and elevation adjustments. Key requirements: - Target detection and tracking of static targets - Provide angular position adjustments - Provide elevation adjustments Ideal skills and experience: - Expertise in computer vision and image processing - Experience with PTZ camera integration - Strong background in software development, particularly in real-time systems - Familiarity with artillery systems and requirements is a plus

I need an end-to-end deep-learning model that can pick out identical human faces across images and video in real time. The core requirements are straightforward: • Detect every human face in an image or live stream, draw accurate bounding boxes, then compare each face against a gallery to decide whether it is an identical match. • Serve three environments without extra rewrites: security-grade CCTV feeds, social-media style mobile uploads, and large photo-management archives. • Deliver low latency on a single modern GPU while still running acceptably on CPU-only hardware for lightweight deployments. I’m comfortable with either PyTorch or TensorFlow/Keras; use the framework you know best. A pre-trained backbone such as ResNet, MobileNet, or Vision Transformer is...

I'm looking for someone to develop an App similar to Cal Ai, SnapCalorie and Qalzy. I work in the fitness industry and would like to sell the app to online customers. If you think you can develop something similar, please reach out and we can discuss the details.

I need a Python-based tool that can scan video files, detect Trees, Road, Infrastructure—and leave room for many more object classes as the project grows—then save every relevant frame straight into a MySQL database. Each stored image must be linked to the corresponding frame number and any detection metadata so I can later query, filter, and analyse the results. Once the data is stored, I want a lightweight viewer that steps through the saved frames in order, overlaying the detection boxes so I can visually confirm accuracy. OpenCV for frame extraction and display is acceptable; YOLO, TensorFlow, or another modern model is fine so long as the code is clean, well-commented, and easy for me to retrain with additional classes. To keep the hand-off smooth, please include: •...

I need a researcher who can build a production-ready model that listens to a baby’s cry, watches the paired video, and decides—reliably—whether the cause is hunger, discomfort, or simple attention seeking. Audio and video must be fused inside one architecture; running them in parallel but independently will not satisfy our accuracy goals. You may use the deep-learning stack you trust most (PyTorch, TensorFlow, Keras, OpenCV, torchaudio, etc.) provided the final network can run in real time on an edge device and be exported to ONNX or TFLite. I will share product constraints and a small proprietary data set; you will expand it through public sources or augmentation, perform rigorous cross-validation, and refine the model until we consistently exceed 90 % precision and rec...

I need an image classification AI model to run on a Raspberry Pi 4. This model will detect whether individuals are wearing PPE kits in static images. The primary application will be in industrial sites. Key Requirements: - The model should accurately classify images as 'PPE' or 'No PPE'. - It needs to be optimized for performance on Raspberry Pi 4. - The input will be static images, not live feeds or videos. Ideal Skills and Experience: - Proficiency in AI and image classification techniques. - Experience with model optimization for edge devices, especially Raspberry Pi. - Background in developing AI solutions for industrial applications is a plus. - Ability to deliver a robust and efficient model within budget constraints.

Want to add custom commands upload to robot and from retroit control execute that commands

Autonomous Agricultural Robot Developer (ROS2, Jetson Nano) – Short Freelancer Posting We are developing CropScanalyzer, an autonomous agricultural rover for crop phenotyping and plant health monitoring. We are looking for an experienced ROS2 robotics developer/team for autonomous navigation, multi-motor control, and sensor/data integration. Robot Details: • 4-wheel drive + 4-wheel steering (8 motors) • Additional motors for conveyor plant row deflector + camera vertical motion (~10 motors total) • NVIDIA Jetson Nano onboard computer • Sensors: RTK-GNSS, LiDAR, IMU-depth cameras, GoPro cameras, encoders, light, and load sensors. Key Tasks: • ROS2 autonomous navigation with sensor fusion • Manual remote-control mode + fully autonomous path-following mode ...

I’m building a video-surveillance module and need a Convolutional Neural Network that can spot humans, vehicles, and animals the instant they appear on-screen, whether the cameras are indoors, outdoors, or a mix of both. As soon as the model flags one of those classes, it must immediately push an alert to my back-end (REST webhook is fine) and simultaneously initiate recording on the camera stream. Speed is critical: I’m targeting sub-100 ms inference per frame on an Nvidia Jetson Xavier, yet I still need accuracy good enough to avoid nuisance alerts in busy scenes. You’re free to choose the framework you prefer—YOLOv8, Faster R-CNN, or a custom TensorFlow / PyTorch implementation—as long as the final package runs headless in Linux and can be containerised (D...

I have a curated dataset of abdominal X-ray images that needs a robust deep-learning model capable of classifying key clinical findings. The end goal is a production-ready Python solution that can consistently score above 90 % accuracy on an unseen validation set. You’ll start with any mainstream framework you prefer—TensorFlow, Keras, or PyTorch—and handle the full pipeline: data preparation and augmentation, model architecture selection, training, hyper-parameter tuning, and evaluation. Please keep the code modular and well-commented so I can retrain or fine-tune later as new data comes in. A concise report that explains your decisions, metrics, and suggestions for future improvements will also be appreciated. To help me choose quickly, focus your proposal on your exp...

Necesito ayuda para desarrollar y optimizar un modelo de detección y segmentación en tiempo real basado en YOLO11n que procese videos de ultrasonido de resolución media. El foco principal es localizar con alta precisión la aguja, aunque también deben marcarse venas y arterias para dar contexto al operador. Alcance del trabajo • Entrenamiento y ajuste fino del modelo YOLO11n con un dataset de ultrasonido que aportaré. • Implementación de segmentación y tracking cuadro a cuadro para mostrar contornos superpuestos en vivo. • Optimización de velocidad de inferencia a nivel de GPU/CPU para mantener latencia mínima. • Entrega de código limpio en Python (PyTorch o framework equivalente), pesos ...