AI Shoplifting Detection Developer Needed

@AwaisChaudhry

Hello, I will build an edge-first shoplifting detection stack for the Jetson Orin Nano that ingests RTSP streams from your NVR/cameras, runs a compact, fast detection model, and creates a 20-second evidence clip (about 5 seconds pre-event, 15 seconds post-event) to send to a mobile app within 10 seconds. The system will allow selecting only needed cameras, support remote deployment, and learn locally from manager feedback so policies stay branch-specific. To protect your IP, the code will be compiled (e.g., via Cython) and the storage encrypted; the dashboard will remotely control processing, archive history, manage users, and monitor connections. I will deliver a secure, modular solution with a clear API for the web dashboard, iOS/Android app, and remote setup, plus thorough documentation and training. 1) What is the target accuracy and how will you validate it across stores? 2) How many cameras/branches will be onboarded and can you provide a camera list? 3) What privacy constraints apply to video clips and logs, and who can access them? 4) Do you need OTA updates, version control, and rollback capability for the edge module? 5) What security standards must be met for on-device encryption and anti-tamper checks? Best regards,

@Julian29

Hello, I am an AI and full stack developer with 8 plus years experience building edge AI systems and secure real time pipelines. I can deliver your smart shoplifting detection system on NVIDIA Jetson Orin Nano with mobile alerts and a central dashboard, meeting your accuracy, latency, and security requirements. Wordflow in points First I will design the full system architecture and set up cloud infrastructure, remote access to Jetson, and RTSP ingestion from NVR cameras. Next I will develop the edge AI pipeline, deploy an optimized model on Jetson, and generate 20 second clips with pre and post event buffering. Then I will build the mobile app for iOS and Android with real time push notifications, clip playback, and correct false alert feedback buttons. After that I will create the central web dashboard for multi branch monitoring, user access control, kill switch activation, and incident logs with analytics. I will implement local learning so feedback improves the model only per branch without affecting other locations. Security will be enforced through compiled code, LUKS disk encryption, and hardware binding to prevent copying. Finally I will optimize latency to under 10 seconds, tune the model to achieve over 85 percent accuracy, and provide full documentation, OTA update support, and a 48 hour stability test for final acceptance. Thanks Julian

@Hammadhassan21

Hello hope you doing well i will help you build a real time AI based smart shoplifting detection system using NVIDIA Jetson Orin Nano that reliably detects theft events with over 85% accuracy and delivers 20 second evidence clips to your mobile app within 10 seconds. i will develop an edge AI module that ingests RTSP streams, supports selective cameras, and learns locally from manager feedback while keeping code fully encrypted and hardware locked. the mobile app will securely notify managers with correct/false alert buttons, and the central web dashboard will monitor multiple branches, manage users, toggle AI processing, and log incidents for analysis. you will receive a fully optimized secure and scalable system with remote deployment support technical documentation and a seamless workflow from detection to alert and feedback integration. Discover my professional portfolio: https://www.freelancer.com/u/Hammadhassan21 If my offer meets your expectations, we would be happy to discuss your project in more detail. Best Regards, Hammad Hassan

@divumanocha

As CodeNomad, we're a seasoned team of AI and Full-Stack developers with 12+ years' experience in delivering cutting-edge software solutions like your AI Shoplifting Detection System. Our proficiency with Python, which is crucial for the development and optimization of your Edge AI Module for the Jetson Orin Nano, makes us an excellent fit for this project. We're well-versed in working with NVIDIA devices and can ensure optimal performance to achieve the minimum detection accuracy of 85% you require. With our skills in Mobile Development, we'll design and develop a secure mobile application that aligns with your needs to provide real-time push notifications, play specific video clips, and give Managers fast response options ensuring efficient store management. Similarly, our expertise in Web Development will let us craft a well-designed and user-friendly main dashboard that not only observes multiple systems but also gives you centralized control over all branches. One aspect where we shine is deep learning model deployment which is essential for the advanced shoplifting behavior detection algorithms enabling your system to get smarter over time. As you've explicitly noted about the importance of security in code deployed on Jetson Nano, rest assured, our team is highly attentive to encryption and obfuscation techniques ensuring utmost security. Thanks.....

@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

@rbtech1984

Hello There!!! ⚜⭐⭐⭐⭐⚜(( Build a secure Edge AI shoplifting detection system with real time alerts ))⚜⭐⭐⭐⭐⚜ Your project is a full Edge AI pipeline on Jetson Orin Nano, streaming from NVR cameras, detecting shoplifting behaviors, and sending 20 second evidence clips to a mobile app. The system must be mobile responsive, accurate, and secured with code encryption and hardware locking. I have strong experience building real time video pipelines, deploying AI models on edge devices, and developing secure web dashboards with mobile apps. I will structure the system in clear milestones, starting with RTSP ingestion, then detection, clip generation, and finally security and feedback learning. My mini strategy is to use optimized YOLO or EfficientDet on Jetson, implement local feedback learning, compress clips, and connect the dashboard for remote control and monitoring. Top 3 features: 1. Mobile alerts with evidence clip in under 10 seconds 2. Secure compiled code with hardware binding 3. Dashboard control with feedback and analytics If you share the attached file and access details, I can start the architecture and milestone plan immediately. Warm Regards, Farhin B.

@codefusion53

Hello. I propose to design and implement a secure, edge-based AI shoplifting detection platform optimized for NVIDIA Jetson Orin Nano, integrating real-time RTSP ingestion, low-latency event detection, and automated evidence clip generation. The Edge AI pipeline will leverage optimized deep-learning models (TensorRT-accelerated) with behavior-level inference and adaptive thresholds, enabling >85% accuracy while supporting localized, branch-specific learning via manager feedback. A secure mobile application (iOS & Android) will deliver near real-time alerts (<10s) with encrypted clip playback and explicit True/False feedback mechanisms to continuously improve local model performance. A centralized web dashboard will provide multi-brand, multi-branch system control, real-time device status, incident analytics, and fine-grained user access management. All deployed software will be hardened using compiled binaries (Cython), hardware-bound license checks, and LUKS full-disk encryption to protect IP and prevent unauthorized duplication. The system will support remote provisioning, OTA model updates, and fail-safe device control, including instant AI activation/deactivation from the dashboard. Performance, security, and accuracy targets will be validated through live testing, stress runs, and third-party audit compliance. The final delivery will include complete documentation, operational training, and a production-ready system meeting all acceptance criteria. Regards, justin.

@trm66614

Hi there,Good morning I am Talha. I have read you project details i saw you need help with Mobile App Development, Deep Learning, Video Processing, Full Stack Development, Computer Vision, Web Development, AI Development and Security I am writing to propose an innovative approach to tackle your project. Our proposal centers on delivering creative and effective solutions that will set your project apart. We will present fresh, out-of-the-box ideas that align with your project's objectives, demonstrating how we can achieve remarkable results. Please note that the initial bid is an estimate, and the final quote will be provided after a thorough discussion of the project requirements or upon reviewing any detailed documentation you can share. Could you please share any available detailed documentation? I'm also open to further discussions to explore specific aspects of the project. Thanks Regards. Talha Ramzan

@itswahabahmad

As a seasoned Full-Stack Developer with deep expertise in Mobile App Development, I am thrilled about the opportunity to apply my skills in creating your AI-based smart shoplifting detection system. I possess significant expertise in Computer Vision and Machine Learning, skills that are fundamental for developing an efficient edge AI solution, capable of accurately detecting shoplifting behaviors in real-time and generating 20-second video clips. In addition to my technical proficiency, I bring with me over six years of remote working experience; adept at troubleshooting, implementing robust solutions while catering to different time zone preferences. Furthermore, I 'm well-versed in enhancing systems post-deployment. It is critical the system can adjust to local feedback without impacting other branches or markets; this request aligns perfectly with my approach towards dynamic solutions development. My capacity to architect reliable and scalable applications will be instrumental in building a robust web-dashboard that manages multiple systems/locations efficiently, providing centralized monitoring while maintaining uncompromising data security. Additionally, I have solid experience in AWS DevOps, ensuring efficient deployment and management of cloud resources for optimised system performance.

@mahig47

Hello! As per your project post, you are looking to build an AI-based Smart Shoplifting Detection System that runs on NVIDIA Jetson Orin Nano devices, processes live video from selected cameras, and instantly delivers 20-second evidence clips to a mobile app. The goal is to provide branch-specific, locally improving AI detection while offering a secure, centralized web dashboard for monitoring, feedback, and system control. My focus will be on delivering a reliable Edge AI solution where each store can independently detect shoplifting behaviors with fast, accurate alerts. The Jetson module will process only selected camera streams, generate compressed clips for near real-time delivery, and incorporate local feedback from managers to improve detection without affecting other branches. The mobile app will handle secure notifications, quick playback of clips, and structured feedback (right/false alert). I specialize in building operational AI systems that integrate edge devices, real-time notifications, and web dashboards. My approach emphasizes low-latency performance, local adaptability, and strong encryption to protect intellectual property while keeping the system modular and scalable across multiple branches. Let’s connect to align on deployment priorities, feedback handling, and system scalability so we can deliver a secure, high-performing shoplifting detection system tailored for your multi-branch operations. Best regards, Nikita Gupta

@hireageek

Hello, I am excited about the opportunity to collaborate on developing your AI-based smart shoplifting detection system. As a top California freelancer with numerous five-star reviews, I specialize in AI and full-stack development, and I'm confident I can deliver a robust solution tailored to your unique needs. I understand the critical importance of achieving at least 85% detection accuracy while ensuring the system can learn and improve locally based on feedback from store managers. I will leverage my expertise to create a seamless Edge AI module that efficiently ingests RTSP streams, detects shoplifting behaviors, and generates quick video alerts to the mobile app. The web dashboard will facilitate comprehensive control over the entire system, ensuring secure monitoring across multiple branches. Let’s discuss your project further so we can ensure all your specifications are met efficiently. What specific features do you envision for the user feedback functionality in the mobile app? Best regards,

@DigitaSyndicate

⚠️You are not looking for a coder. You are looking for someone who can build this properly. That is exactly why your project stood out.⚠️ Your vision for an AI-based smart shoplifting detection system leveraging Jetson Orin Nano and a multi-layered architecture reflects a commitment to precise, scalable edge intelligence that adapts locally without compromising security. That aligns directly with how we engineer systems at DigitaSyndicate — developing intuitive, secure, and future-proof automated platforms. At DigitaSyndicate, a UK-based digital systems agency, we build precision-engineered automation, modern web platforms, and AI-driven systems designed for performance and long-term scalability. Our approach to encryption, hardware locking, and distributed feedback loops ensures the robustness and controlled adaptability your system requires. We recently delivered a real-time video analytics platform with sub-10 second latency and encrypted edge deployment. Can you share your main priorities and timeline so I can map out the right execution plan for you? Casper M. Project Lead | DigitaSyndicate Precision-Built Digital Systems.

@mobiwebsolutions

Hi There!!! The Goal of the project:- Develop an AI-based smart shoplifting detection system with Edge AI on NVIDIA Jetson Orin Nano, a mobile alert app, and a central web dashboard for real-time monitoring and feedback. I have carefully read your detailed project description and understand the need for a secure, low-latency, self-improving shoplifting detection system that integrates with multiple cameras, provides mobile alerts, and central dashboard control. I am the best fit for this project because I combine expertise in AI/Computer Vision, full-stack development, and secure embedded systems deployment to deliver reliable end-to-end solutions. 1. Edge AI module development on Jetson Orin Nano with local video processing and clip generation 2. Mobile application for iOS and Android with real-time alerts and feedback buttons 3. Central web dashboard for monitoring, user access control, and remote activation/deactivation of the AI system I provide UI design, database management, testing, and full source code delivery at project completion. I have 9+ years experience as a full stack developer and have completed similar AI surveillance and real-time video processing projects with mobile and dashboard integration. Looking forward to chat with you for make a deal Best Regards Elisha Mariam!

@dtk507

Hello! I'm excited about your project on developing an AI-Based Smart Shoplifting Detection System. I understand you need a robust solution that leverages Edge AI, specifically on NVIDIA Jetson Orin Nano, to detect theft in real-time and send alerts to a mobile app while ensuring high accuracy and security. My approach will focus on developing an optimized computer vision model that meets your detection criteria. I will implement a user-friendly mobile application enabling immediate notifications and oversight through a central web dashboard, all while ensuring data security and compliance with your specifications. Regards, Davide

@jovani81

As an experienced Machine Learning Engineer with a strong focus on computer vision, I can confidently say that I have the necessary skills and expertise required to develop your AI-based Smart Shoplifting Detection System. Over my 8+ years in the industry, I have designed clean data pipelines, optimized model accuracy and speed, and implemented scalable AI systems that effectively recognized complex patterns. More specifically, my specialization in deep learning is especially pertinent for this project as it aligns directly with the demands of training and optimizing an efficient computer vision model for your NVIDIA Jetson Orin Nano. In terms of frontend development, I am proficient in both iOS and Android app development and can deliver a secure, user-friendly mobile app for multi-store managers to receive real-time push notifications, access footage and provide invaluable feedback. In addition, my web development skills will come in handy as I create an easily navigable central dashboard where you can monitor multiple systems' statuses, access incident logs based on branch names, along with the efficiency analysis drawn from each branch's data graphically and numerically. With me on board, your edge AI module, mobile application, web dashboard, branch expansion plans and more will be in great hands. Let's get started!

@tbrandt78

Hello As an experienced Mobile Engineer with a strong background in AI and Full-Stack Development, I'm eager to apply my expertise to developing your AI-based Smart Shoplifting Detection System. Over the past 8+ years, I've honed my skills in mobile application development, including edge processing on advanced platforms like NVIDIA Jetson Orin Nano – this will be vital for our project! My comprehensive understanding of deep learning models will accelerate the development of your Shoplifting Detection System. I approach all projects with efficiency and optimization, so you can expect swift and accurate ingestion of RTSP streams from your NVR/Cameras, robust shoplifting detection, and automatic video clip generation within seconds. The system's self-learning functionality is also well within my wheelhouse. By leveraging my experience developing teachable intelligent systems, your shoplifting detection model will improve uniquely based on localized feedback while remaining independent across branches. Best Regards, Timothy B.

@usamae

I'm experienced in developing AI-based systems and optimizing computer vision models for real-time surveillance. I have expertise in building Edge AI modules, mobile apps, and web dashboards. My focus is on achieving high detection accuracy, quick response time, and seamless integration of security features. I ensure the system is self-learning and customizable based on user feedback. Let's collaborate to create an efficient shoplifting detection solution.

@MIndlabsAi6

Hello Abdullah, I am Vishal Maharaj, a seasoned professional with 20 years of expertise in Web Development, Full Stack Development, Computer Vision, and AI Development. I have carefully reviewed the requirements for the AI Shoplifting Detection project. To successfully execute this project, I propose to develop and deploy a customized computer vision model on the NVIDIA Jetson Orin Nano, optimize the system for real-time detection of shoplifting behaviors, implement automatic clip generation, and ensure secure transmission to the mobile app. The system will also include a Mobile App for instant alerts and a Web Dashboard for centralized monitoring and control. I am eager to discuss the project further and address any queries you may have. Please initiate the chat to explore this opportunity in detail. Cheers, Vishal Maharaj

@andriik18

Hi, I am excited about the opportunity to work on the AI-Based Smart Shoplifting Detection System. With over 7 years of experience in software development, particularly in AI and computer vision, I am well-equipped to build the Edge AI module optimized for the NVIDIA Jetson Orin Nano. My background includes developing secure mobile applications and robust web dashboards, ensuring real-time notifications and efficient management of multiple systems. I will ensure the system achieves the required detection accuracy and meets all performance criteria for speed and security. Looking forward to discussing the next steps! Best regards, Andrii