AI Video Analytics Software Development

@sajjadtaghvaeifr

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

@quan9824

&& YOLO, OCR, OpenCV, Tensorflow, PyTorch, Keras, ML/DL model && Hi, How are you?. I have full skills and full experiences of this field. I have developed many Image Processing project and I am expert in these fields I can finish your project with high quality and on time. Please send me your message to discuss more about your project. I am waiting your reply now. Thanks.

@sanarena

Hi, I can build a Python-based video analytics pipeline that processes your video streams for face detection, person detection, and object detection. I'll use OpenCV with pre-trained TensorFlow models to keep the solution efficient and maintainable. For face detection I'll implement individual face identification, face counting, and emotion analysis using a lightweight emotion classifier. Person detection and general object detection will run on separate model threads to avoid frame drops. I'll deliver a working prototype that reads from a video file or camera stream and outputs annotated frames with bounding boxes, face counts, and emotion labels. The pipeline will include server-side validation of input formats, parameterized queries if any metadata is stored, and rate limiting on processing to prevent resource exhaustion. I'll also add exportable audit logs showing detection events and timestamps. Could you confirm the expected input sources (e.g., RTSP streams, uploaded files) and whether you need real-time processing or batch analysis? That will help me finalize the buffering and threading approach. I can complete this in about 6 days for INR 12500.

@ASSAMWEB

Greetings, I have read the project description I have been working on a similar project in recent time. I am interested in the work open a chat to discuss requirements in details.

@mkh559a5a1fd66e9

As an enterprise .NET developer with over 15 years of professional experience across different international markets, my extensive expertise aligns extraordinarily well with your needs for the AI video analytics software project. My proven abilities include complex integrations, which are paramount to incorporating the face detection, person detection, and object detection functionalities you require in your software solution. Additionally, given my specialization in C++, I am capable of developing robust and scalable systems that will meet the unique demands of this project. I also bring to the table a deep understanding of machine learning techniques, including face recognition and object detection. My knowledge in OpenCV and Python further strengthens my ability to deliver cutting-edge computer-vision-based solutions for the project. Besides, having worked with healthcare EDI systems, I am well-versed in handling sensitive data securely––a crucial aspect in AI projects such as this.

@mayankinnovative

Given your project's need for AI video analytics software, my vast experience in Machine Learning and Python development makes me an ideal candidate. Throughout my 20+ years of experience in the field, I have honed my skills precisely in solution-oriented and critical projects like yours. My proficiency in Python, TensorFlow, OpenCV, and deep understanding of AI and machine learning will perfectly match your expectations. Additionally, I'm knowledgeable about video analytics and computer vision -- two areas directly relevant to your project. I'm well-versed with face detection, person detection, and object detection, three key functionalities you require. Furthermore, my grasp of emotion recognition technologies aligns with the emotional analysis aspect you seek. Please take a look at my portfolio to witness my capabilities firsthand. It demonstrates similar projects where I've delivered dependable, scalable solutions while maintaining high performance standards. Indeed, many clients prefer continuing work with me on an ongoing basis due to my robust results and long-term understa

@mahads31

In a world flooded with data, it's crucial that businesses harness the power of AI and machine learning to turn this information into valuable insights. As the Founder of Solves Inn, I assure you that our team has the right expertise to develop your AI video analytics software. We have a proven track record in AI and machine learning technologies and experienced in working with Python, TensorFlow, and OpenCV, which are core to your project needs. Our experience in face detection, person detection, and object detection is evident from past projects we've successfully executed. Moreover, our knowledge of emotion recognition technologies aligns perfectly with your requirement for emotional analysis within the video analytics system. We don't just develop products; we build partnerships. By choosing us, you're not only getting a set of required skills but also a reliable long-term technology partner committed to your business growth. Trust Solves Inn to transform your idea into an efficient, scalable, and future-ready digital product.

@kend27

Hi, I can build a real-time video analytics application for face, person, and object detection using Python, OpenCV, PyTorch/TensorFlow, and YOLO-based models. The system can identify and count faces, track people across frames, detect selected object classes, and generate searchable events with timestamps, confidence scores, and annotated clips. For emotional analysis, I would integrate and evaluate a dedicated facial-expression model while accounting for camera angle, lighting, accuracy, consent, and privacy requirements. A relevant project involved a real-time smart-shelf monitoring pipeline using YOLO and DeepSORT for person/object tracking, zone counting, event detection, and edge deployment. I have also worked with face detection, facial landmarks, and similarity validation using InsightFace, OpenCV, PyTorch, and ONNX. I can deliver an initial prototype first, benchmark accuracy and FPS on your footage, then optimize it for live cameras and production deployment. Please share sample videos, required object classes, camera count, and target hardware. Ken

@innovateNsolve

Hello, I have over 25 years of experience in AI, Machine Learning, Computer Vision, and Python development, and have successfully developed intelligent video analytics solutions involving object detection, person tracking, face analytics, and real-time vision systems. I have experience developing AI solutions involving: * Real-time object detection and tracking * Computer vision applications using OpenCV and YOLO * Deep learning with TensorFlow and PyTorch * Image and video analytics I have already developed similar kind of system for analyzing class-room videos providing student face and emotion recognition keeping track of student count. To ensure the required performance, I recommend that GPU infrastructure (local workstation or cloud GPU) be made available for development and testing. I look forward to working with you. Thanks.

@devanshkhandekar

Hi,I am a seasoned Applied ML Engineer(6+ yoe)& I can build an AI video-analytics solution for face detection,face counting,person detection,object detection,& optional emotion analysis using Python,OpenCV,YOLO,RetinaFace/SCRFD,& deep-learning inference pipelines My approach: -Review target video sources,camera angles,lighting,FPS,privacy constraints,& required output format -Use YOLO/RT-DETR-style models for person/object detection & SCRFD/RetinaFace for robust face detection -Add tracking with ByteTrack/DeepSORT to avoid duplicate counts across frames -Generate structured outputs: face count,person count,object labels,timestamps,confidence scores,& cropped evidence frames -Add emotion classification only where face quality is sufficient,with confidence thresholds -Provide API/dashboard-ready JSON logs,annotated video output,& documentation Relevant experience: -Built a photo/video search platform where image metadata,object labels,faces,locations,OCR text,& visual embeddings were extracted & used for AI-powered search -Developed face-analysis pipelines using SCRFD/TDDFA-style detection,face crops,embeddings,similarity matching,tag management,& metadata storage -Built real-time YOLO/OpenCV tracking systems for video analytics,including ROI crossing,object counting,lane assignment,timestamped events,& duplicate suppression -Worked on apparel/object attribute extraction pipelines where images were analyzed for visual metadata & stored for downstream search/filtering

@iimtpradeepdash

Person, face, and object detection from video feeds is mainly a solid computer vision pipeline plus efficient GPU inference tuning. For emotion recognition, it’s an extra model running on the cropped face box after detection—usually a lightweight CNN. My team built a production video analytics tool last year for smart retail: person counting, face match, and object detection. Used Node.js for the web app layer, but all vision and ML code sat on a Python backend (TensorFlow, OpenCV, face-api, YOLO). Results pushed in real time to dashboard via REST/WebSockets. If you need production code in Node.js or a web dashboard too, I’d bring my team on. Target cloud GPUs or self-hosted? That picks the deployment route. Pradeep

@TechizeBuilder

Dear Client, I read "AI Video Analytics Software Development" carefully and understand you want a streaming platform with smooth playback on every device and connection. My hands-on experience with Python, Machine Learning (ML) aligns directly with what you need. I've built OTT/video platforms with adaptive streaming, live broadcasts, subscriptions, watchlists and admin content management — with CDN and encoding pipelines that keep buffering away. A few quick questions to get us started: 1. Live streaming, on-demand video, or both? 2. How will it monetize — subscriptions, ads, pay-per-view? 3. Roughly how much content and how many concurrent viewers should we plan for? Thanks & Regards, Deepak

@dushyant317

With 10+ years of experience in AI, computer vision, and video analytics, I can develop a high-performance solution for face, person, and object detection with emotion recognition using Python, OpenCV, TensorFlow/PyTorch, and optimized deep learning models, delivering a scalable, real-time system with clean documentation.

@omarz33

Hello! I'm thrilled to learn about your need for an AI video analytics software focusing on face, person, and object detection. I understand the importance of accurate face detection, counting faces, and emotional analysis. For person and object detection, I'll ensure seamless integration of these functionalities. With proficiency in AI, machine learning, and expertise in Python, TensorFlow, and OpenCV, I have successfully developed similar projects. My experience in video analytics and emotion recognition technologies aligns perfectly with your requirements. I'm excited to discuss how my skills can benefit your project. Let's connect and explore how we can achieve your goals together. Looking forward to the opportunity to work with you!

@iterativeTech

As an AI & Cloud Data Engineering Specialist with a deep understanding of AI video analytics, your project aligns perfectly with my skill set and core service offerings. My mastery of Python, TensorFlow, OpenCV, and machine learning will be fundamental in developing a software solution tailored to your face detection, person detection, and object detection requirements. Through my past engagements across various sectors like finance, healthcare, insurance, and enterprise environments, I have demonstrated my ability to create scalable AI/ML systems that drive results. This includes developing models for classification, forecasting, NLP, and generative AI applications to improve operational efficiency and reduce costs - which are objectives directly relevant to this project. My accomplishments in cloud data engineering will also come into play as your project calls for the development of scalable ETL/ELT pipelines, data lakes, and data warehouses on AWS or Azure. Additionally, I am experienced in real-time analytics using tools like Power BI and Tableau which means I can provide live operational and strategic insights through interactive dashboards. When you choose me for this project, you are partnering with an expert who is equally committed to innovation as much as delivering tangible ROI. Let's transform your data into actionable business intelligence together!

@nutankumarftp

With over a decade of experience as a full stack developer, I have the necessary skills and proficiency in AI and machine learning to complete your AI video analytics software project successfully. In particular, my strong command of Python, software architecture, Tensorflow, OpenCV and other modern web technologies align perfectly with the requirements of your task. My understanding of face detection, person detection, object detection and my knowledge in emotion recognition technologies will enhance the functionalities of your software. Throughout my career, I have designed and developed numerous web and mobile applications that have driven business growth and user engagement. I understand the delicate balance between efficiency, reliability, and scalability that your project requires. My portfolio showcases similar projects where I have delivered on time without compromising quality. Furthermore, working with a small but dedicated team specializing in UI/UX design, graphics, and 3D/CAD solutions when necessary ensures that we are equipped to handle any project's scope professionally. My commitment to understanding your objectives combined with my ability to deliver scalable solutions from concept to deployment makes me the ideal choice for your AI video analytics software development project. Let's get started!

@rakhshanz3

Hi — computer vision is my core area. I'd build your AI video analytics software with a real-time pipeline for face detection (individual identification, face counting, and emotion/expression analysis), person detection, and general object detection. Stack: Python with OpenCV and TensorFlow/PyTorch, using proven detectors (e.g. RetinaFace/MTCNN for faces, YOLO for person/object) plus an emotion-recognition model, wrapped in a clean, documented, deployable app with a simple dashboard for live and recorded video. Background: PhD in AI and ~two decades of software engineering (former CTO of an AI startup), with hands-on deep-learning and vision experience. Portfolio of similar work shared on request. Happy to start with a quick call to confirm accuracy targets, camera/stream inputs and deployment environment. Can begin immediately.

@shazimjaved

✔ I deliver 100% work — 99.9% is not for me. ✔ Workflow Diagram Requirements Analysis ⟶⟶ AI Model Selection ⟶⟶ Face & Object Detection Development ⟶⟶ Emotion Recognition Integration ⟶⟶ Performance Optimization ⟶⟶ Testing & Validation ⟶⟶ Documentation & Delivery Key Highlights ✔ Strong expertise in Python, OpenCV, TensorFlow, YOLOv8, Deep Learning, and real-time computer vision applications. ✔ Develop an AI video analytics system capable of real-time face detection, person detection, and multi-class object detection with high accuracy. ✔ Face analytics including individual face identification, face counting, and emotion recognition using state-of-the-art deep learning models. ✔ Optimized processing pipeline for live camera streams and recorded videos with GPU acceleration support. ✔ Modular architecture allowing future expansion with tracking, facial recognition, attendance, intrusion detection, and custom object classes. ✔ Complete source code, model weights, setup guide, and well-documented project for easy deployment and maintenance. ✔ Thorough testing and performance optimization to ensure reliable analytics across different environments and camera feeds. Best Regards, Shazim Computer Vision Engineer | OpenCV & AI Specialist | Face Recognition & Object Detection Expert

@vertechsolutions

Hello, Your AI video analytics needs accurate face, person, and object detection with reliable emotion analysis. I’ve spent the last 4 years solving exactly this type of problem, building Computer Vision pipelines in Python using OpenCV for real-time Object Detection, face identification, counting, and emotion recognition from video streams. I will develop and optimize the detection workflow, train/integrate the right models, and deliver a scalable AI Development solution. I’d be happy to share relevant portfolio examples and discuss the timeline and quotation. Best regards, Ribal www.freelancer.com/u/vertechsolutions