Intelligent CCTV with Real-Time Threat Detection

@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

@point2solutions

--- AI-Powered Smart CCTV Surveillance System --- Your requirements align well with my expertise in AI/ML, Computer Vision, and enterprise application development. Here's my approach: → AI-powered CCTV analytics using Python, OpenCV, YOLO, and Deep Learning models. → Real-time threat detection, including intrusion, unfamiliar faces, suspicious activities, animals, and object detection. → Centralized web dashboard with multi-camera and multi-location monitoring capabilities. → Android and iOS applications for live monitoring, alerts, and incident management. → Scalable, cloud-ready architecture with complete source code and deployment support. Flow CCTV Feed → AI Analysis → Threat Detection → Alerts → Incident Management Question Do you already have the CCTV infrastructure in place, or should the solution also include camera integration planning? Let's connect... Thanks

@mrresearcher99

Hello Sir, I have 5 years of experience working with Python Development. Let's discuss this further. Thanks, Bhargav.

@devsrank

Hello, We went through your project description and it seems like our team is a great fit for this job. We are an expert team which have many years of experience on Mobile App Development, Machine Learning (ML), React.js, OpenCV, CCTV, Deep Learning, FastAPI, Facial Recognition, Object Detection, YOLO Please come over chat and discuss your requirement in a detailed way. Thank You

@rbtech1984

Hello There!!! ★★★★ (AI-Powered Intelligent CCTV System with Real-Time Threat Detection & Multi-Camera Surveillance Platform) ★★★★ Project understanding: I understand you need an enterprise-grade AI CCTV system that uses computer vision for real-time threat detection, including face recognition, intrusion, object and animal detection, multi-camera monitoring, alerts, and a full web + mobile surveillance platform with scalable architecture. Services: ⚜ AI/ML CCTV surveillance system development ⚜ YOLO/OpenCV-based real-time object & threat detection ⚜ Facial recognition & anomaly detection models ⚜ Web-based admin dashboard (React/FastAPI) ⚜ Android/iOS mobile app for live monitoring & alerts ⚜ Multi-camera & multi-location monitoring system ⚜ Cloud deployment with Docker & API architecture I have strong experience in computer vision and AI-based detection systems, including real-time video analytics and API-driven architectures. I focus on building scalable, production-ready systems with optimized model performance and low latency streaming. My approach will be to design detection pipeline first, then integrate real-time streaming, followed by dashboard + mobile alert system and finally deployment with proper monitoring and documentation. Looking forward to discussing technical scope and timeline. Warm Regards, Farhin B.

@quan9824

Hello, I can help build your AI-powered CCTV surveillance and real-time threat detection platform as a complete enterprise-grade system, not only a computer vision module. For the MVP/production architecture, I recommend: • AI/video engine: Python, OpenCV, YOLO, PyTorch/TensorFlow • Face recognition: registered/unregistered person detection with privacy-safe access control • Backend/API: FastAPI or Django REST • Dashboard: React.js or Vue.js • Mobile apps: Flutter for Android/iOS • Database: MySQL/PostgreSQL • Storage: S3-compatible evidence storage • Deployment: Docker, GPU server/cloud, optional edge AI device support Core modules would include real-time CCTV stream ingestion, person/object/animal detection, intrusion zones, abnormal activity rules, unfamiliar face alerts, evidence recording, incident management, push notifications, multi-camera/multi-location monitoring, user roles, analytics, and reports. I will provide source code, trained/configured models, API documentation, deployment guide, user manual, testing documentation, database/architecture documentation, and post-launch support/maintenance. Best regards, Quan

@ZohaibRoy

⭐⭐⭐⭐⭐ Build AI-Powered Smart CCTV Surveillance & Threat Detection System ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see you're looking for an AI and ML development team for a smart CCTV system. You don't need to look any further; Zohaib is here to help you! My team has completed over 50 similar projects in AI-powered surveillance systems. We will create a comprehensive platform that analyzes video streams in real time, detects threats, and sends alerts, all while staying within your budget. ➡️ Why Me? I can easily build your AI-powered surveillance system as I have 5 years of experience in AI, ML, and Computer Vision. My expertise includes real-time video analysis, object detection, and mobile app development. Additionally, I have a strong grip on technologies like Python, OpenCV, and TensorFlow, ensuring a solid solution for your needs. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. I'm eager to explore how we can achieve your goals together. ➡️ Skills & Experience: ✅ AI & Machine Learning ✅ Computer Vision ✅ Real-Time Video Analysis ✅ Object Detection ✅ Facial Recognition ✅ Mobile Application Development ✅ CCTV Integration ✅ Python Programming ✅ OpenCV ✅ TensorFlow ✅ REST API Development ✅ Web-Based Dashboard Waiting for your response! Best Regards, Zohaib

@TechizeBuilder

Hi! I'm a MERN Stack expert specializing in Mobile App Development, React.js. I've carefully read your Intelligent CCTV with Real-Time Threat Detection and fully understand the requirements — I'm confident I can deliver clean, scalable, and high-performance code on time. I'd love to discuss the details further and get started right away. Let's connect to make your project a success!

@durgesh8527

As a seasoned 12+ years full-stack development team, specializing in AI and Computer Vision applications, we firmly believe we are the best fit for this project. We have thorough expertise in the core technologies you've outlined such as Python, OpenCV, TensorFlow/PyTorch, and YOLO. Fluent in React.js/Vue.js and experienced with Android (both Flutter and Native), we can ensure the creation of your requested web-based admin dashboard as well as the Android and iOS mobile applications. Moreover, our ability to optimize for machinery learning systems(Python, TensorFlow/PyTorch) further guarantees the AI learning capability you desire." Our real value-add stems from deploying a dynamic team that pairs high technical proficiency with strategic foresight. This combined approach ensures that we deliver enterprise-grade solutions, designed to handle the complexities of multiple CCTV cameras and locations concurrently before being monitored by various administrators & security personnel on both web and mobile SMEs. Our aim is to provide an intuitive but secure system that can detect unusual activities promptly while also generating event records for easy access later; aspects such as real-time notifications and rapid incident response support this objective.

@mobiwebsolutions

✋ Hi There!!! ✋ The Goal of the project:- TO DEVELOP AN AI POWERED INTELLIGENT CCTV SURVEILLANCE SYSTEM WITH REAL TIME THREAT DETECTION MULTI CAMERA MONITORING AND MOBILE WEB ALERT INFRASTRUCTURE I have carefully read requirement including AI based video analytics, object and face detection, real time alerts, multi camera monitoring, mobile and web dashboards, and scalable enterprise surveillance architecture. I am best fit for this project due to 9+ years experience full stack developer with strong expertise in AI systems, computer vision, and real time monitoring platforms. 1 AI based CCTV processing using OpenCV YOLO for object, face and anomaly detection 2 real time web dashboard and mobile apps with alert notification system and incident tracking 3 scalable backend using FastAPI or Django with database storage, API integration, and deployment support I provide UI design, database management, testing, and full source code delivery at project completion with production ready architecture and documentation. I have completed similar AI video analytics and surveillance system development projects. Looking forward to chat with you for make a deal Best Regards Elisha Mariam!

@datacode0023

Hello, I have over 9 years of experience working on AI projects and have successfully contributed to multiple projects in this field. I also hold a Master's degree in Artificial Intelligence. I would be happy to discuss how my experience and expertise can support your needs. Please feel free to contact me to discuss further. Have a nice day.

@iimtpradeepdash

Real-time, multi-location video analytics only works smoothly if the AI pipeline and alerting backbone are tight, or you get lag and missed threats. The stack has to balance heavy video processing with responsive mobile/web notification—no shortcuts. My team built a similar AI-powered vehicle and security monitoring stack last year: live multi-feed ingest, camera-neutral, with mobile and web dashboards. PackSmart AI and a recent Live Streaming project (NDA, can show interface) both included edge device and central dashboard layers. I'd plan a Node.js API core for orchestration, React.js for the dashboards, Flutter mobile apps, all talking to Python AI microservices (YOLOv8 + DeepSort for object/person tracking, face recognition module, abnormal event classifier). Docker for every AI/processing node, GCP or AWS for cloud scaling. MySQL for admin + alert logs. Real-time WebSocket push for all notifications—SMS/WhatsApp integration if you want. Any onsite/offline requirement for branch offices, or will all streams route via the main cloud? Reply if you want phase and interface detail broken out. Pradeep

@Friends4it

Hi, I've read your brief — "Intelligent CCTV with Real-Time Threat Detection". This is squarely our wheelhouse at Global IT Vision: a polished cross-platform mobile app (clean UX, solid architecture, a backend/API where needed) shipped to iOS + Android. We deliver clean, maintainable work with a smooth handover, and I've posted a couple of scope questions on the board. Could we do a quick call to align on the details? — Muhammad Idrees / Global IT Vision Pvt. Ltd

@NEHABHAT92

With a diverse skillset in mobile app development and web design, my team and I are ready to meet your custom AI surveillance system requirements. Leveraging deep knowledge in Python, OpenCV, YOLO, TensorFlow and more, we guarantee a highly accurate and scalable solution. We are proficient in building React.js and native Android applications, as well as having experience with FastAPI and MySQL - all catered perfectly to this project’s needs.

@rosscarter1011

Let’s be realistic: building a production-ready, enterprise-grade AI CCTV platform spanning multi-location RTSP streaming, YOLOv8 object detection, facial recognition, an admin dashboard, and dual mobile apps (iOS/Android) is a $5,000+ engineering effort. Anyone bidding $140 for the full system is deploying a brittle GitHub clone that will crash on the first two concurrent 1080p live streams. The real engineering bottleneck here isn't running a basic YOLO inference loop; it’s balancing the GPU compute cost, preventing frame drops during high-bitrate ingestion, and managing WebSocket alert routing without turning your server into a stove. My $250 bid is for Phase 1: Creating the full production blueprint and a minimal working MVP. Here is how I will architect Phase 1: 1. Ingestion Layer: FastAPI backend utilizing OpenCV/FFmpeg to efficiently ingest a single RTSP stream, handling frame decoding in a separate worker thread. 2. AI Core: An optimized YOLOv8 pipeline for human and object detection with custom confidence thresholds to filter out false positives. 3. Alert Dispatch: A low-latency event trigger communicating with a lightweight React dashboard via WebSockets for sub-second incident flagging. This phase will provide you with the rock-solid architecture, clean database schema (MySQL/PostgreSQL), and Docker configuration needed to scale this to a multi-camera, multi-location system in subsequent phases without refactoring the whole core. Let's hop on a chat to discuss your hardware constraints (Edge/Jetson vs Cloud GPU) so we can map out a realistic roadmap for the entire ecosystem. Best regards

@FreeLancers360

Hello, I just finished reading your brief for "Intelligent CCTV with Real-Time Threat Detection", and I'm genuinely excited about the chance to work on it. I don’t just want to tick the boxes here; my aim is to hand you something that genuinely goes beyond what you pictured. From your brief I can see this involves android, ios, flutter — all areas we handle in-house. We specialise in Mobile App Development, Machine Learning (ML), React.js, OpenCV, which lines up directly with what you need. How we'd approach it: - Finalise the screens, user flows and feature list with you - Build smooth, native-feeling UI with clean, maintainable code - QA on real devices, then prepare and ship to the store(s) - Post-launch support and iteration once you’re live I also noted you don’t need requiring continuous human supervision — that’s clear, and I’ll keep the work clean and strictly on-brief. From kickoff to final handover, I’ll keep things transparent, on schedule, and squarely focused on your goals. Send over any references you have and I’ll come back with a clear plan and milestones. Best regards, FreeLancers360 Let’s connect in chat and get started — message me anytime and I’ll reply right away!

@KavyaTechNepal

Namaste, I’d love to help bring your project from concept to a production-ready solution. With strong experience in web applications, mobile apps, SaaS platforms, APIs, cloud deployment, AI/ML integrations, and scalable software architecture, I can deliver a reliable, maintainable, and user-friendly product tailored to your requirements. What I Can Deliver: . Clean and scalable architecture . Responsive web and mobile experiences . Secure APIs and database design . Third-party integrations and automation . Performance optimization and testing . Deployment, documentation, and support I focus on quality code, clear communication, and on-time delivery. I would be happy to discuss your requirements and propose the best approach for successful implementation. Best regards, Amit G. Kavya Tech Nepal

@devanshkhandekar

Hi,I am a seasoned Applied ML Engineer(6+ yoe) & I can design & deliver the AI/video-analytics layer for a scalable smart CCTV platform,covering multi-camera ingestion,detection,tracking,intrusion rules,face matching,incident creation,alerts,& API integration with web applications Proposed approach: -Ingest RTSP/CCTV streams through OpenCV/GStreamer with reconnect,buffering,FPS control,& camera health monitoring -Use YOLO + ByteTrack/DeepSORT for humans,vehicles,animals,& suspicious-object tracking -Add zone/line-crossing,loitering,restricted-area intrusion,abandoned-object,crowding,& after-hours rules -Implement face enrolment & familiar/unfamiliar matching with confidence thresholds & human verification -Store event clips,snapshots,timestamps,camera/location IDs,& evidence metadata -Expose FastAPI services for alerts,incidents,analytics,dashboards Relevant experience: -Built a real-time finish-line surveillance pipeline using YOLO/OpenCV tracking,lane-specific IDs,calibrated ROIs,crossing-event logic,occlusion handling,& evidence-frame capture -Developed vehicle detection/counting systems using YOLO,ByteTrack,zone crossing,duplicate-count prevention,REST/WebSocket outputs -Worked on ANPR-style workflows combining vehicle localisation,tracking,OCR handoff,confidence filtering,& multi-frame result validation -Built industrial command-centre applications with live telemetry,active alarms,risk prioritisation,incident investigation,audit trails,& operator-facing dashboards

@abanoubnashaat99

Hi, I'm a computer vision engineer with experience building real-time multi-camera surveillance systems — YOLO-based detection, face recognition, RTSP stream processing, and alert pipelines running on edge GPU hardware. I've also delivered the full-stack side of similar platforms: React dashboards, Flutter mobile apps, REST APIs, and cloud deployment with Docker. I can handle this end-to-end from the AI models through to the web and mobile interfaces. Best Wishes,