You will get AI-powered workforce monitoring system using CCTV analytics

Avinashbhai O.Status: Offline
Avinashbhai O. Avinashbhai O.
4.9
Top Rated

Let a pro handle the details

Buy Other AI & Machine Learning services from Avinashbhai, priced and ready to go.
Avinashbhai O.Status: Offline
Avinashbhai O. Avinashbhai O.
4.9
Top Rated

Let a pro handle the details

Buy Other AI & Machine Learning services from Avinashbhai, priced and ready to go.

Project details

I will build an AI-powered workforce monitoring system using CCTV analytics to help you monitor worker activity and detect important events in real time. This solution can be tailored for factories, warehouses, offices, restaurants, and other work environments.

The system can detect events such as worker presence, idle time, loitering, mobile phone usage, socializing, sleeping, hygiene compliance, and suspicious activity, depending on your use case.

I handle the full pipeline, from understanding your camera setup and business goals to building detection and tracking logic, testing on sample footage, optimizing performance, and delivering a practical solution.

My focus is not just model accuracy, but real-world reliability, low latency, fewer false alerts, and deployment readiness. You can choose a proof of concept, a real-time MVP, or a more advanced solution with alert logic, API support, and deployment guidance.
AI Development Type
Deep Learning
AI Tools
NVIDIA AI Platform, PyTorch, TensorFlow
AI Development Language
Python
What's included
Service Tiers Starter
$500
Standard
$1,000
Advanced
$1,500
Delivery Time 2 days 4 days 5 days
Number of Revisions
122
AI Model Integration
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Detailed Code Comments
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Knowledge Graph
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Model Documentation
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Ontology
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Source Code
Taxonomy
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Optional add-ons You can add these on the next page.
Fast Delivery
+$100 - $300

Frequently asked questions

4.9
14 reviews
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Django developer in generating history conversation with chatbot Avinashbhai did an excellent job implementing the chatbot conversation tracking using Django session cookies. The solution works seamlessly, ensuring session persistence and a smooth user experience. The implementation was efficient, well-optimized, and met all our requirements.



Their technical expertise, problem-solving skills, and attention to detail were evident throughout the process. They completed the task within the expected timeframe and provided clear explanations.



Highly recommended for Django and Python development work!

GW

George W.
5.00
Mar 11, 2021
Private Django project (not public) Really nice job and very quick! Thank you so much for your quality work!

JT

Jeannette T.
5.00
Nov 3, 2020
Django Avinashbhai is an excellent programmer, very skilled and knows what he s doing.
He suggested very useful ways to solve our problems.
His programming is very clear, it s easy to pick up a program from him and follow up.
He was very patient, communicative, cooperative and reliable all the way from start to finish.
I highly recommend Avinashbhai, he is a true gem and I hope to get him to work with me in my next projects.
Avinashbhai O.Status: Offline

About Avinashbhai

Avinashbhai O.Status: Offline
Computer Vision Engineer | OpenCV, YOLO, Face Recognition, OpenVINO
100% Job Success
4.9  (14 reviews)
Bengaluru, India - 7:55 am local time
I build production-ready Computer Vision and AI video analytics systems that work in the real world — not just demo models.

I specialize in Python, OpenCV, YOLO, face recognition, FastAPI, OpenVINO, NVIDIA Jetson, GPU servers, and edge AI deployment. I help businesses convert existing CCTV/IP cameras into intelligent AI systems for security, access control, automation, monitoring, and operational intelligence.

My core expertise includes:

• AI CCTV monitoring and real-time video analytics
• Face recognition and face-based access control
• Smart visitor monitoring and unknown visitor detection
• Employee attendance and workforce activity monitoring
• YOLO-based object detection and custom model integration
• OpenCV-based image and video processing pipelines
• OpenVINO optimization for running AI on normal office PCs and Intel hardware
• NVIDIA Jetson and GPU-based edge AI deployment
• Restricted area alerts, blacklist person alerts, and security automation
• Jewellery theft detection, hand-to-mouth detection, and suspicious activity alerts
• People counting, zone monitoring, camera tampering detection, and incident tracking
• Real-time dashboards, reports, APIs, webhooks, WhatsApp/email/voice alerts
• Complete backend development using FastAPI, Django, PostgreSQL, MySQL, Redis, Docker, and AWS

I have built practical Computer Vision systems for offices, factories, gyms, coaching classes, hotels, jewellery shops, schools, and security-focused businesses. These systems include smart visitor management, face-based door unlocking, attendance automation, AI CCTV monitoring, jewellery theft detection, workforce monitoring, queue automation, hotel smart reception, and multi-camera surveillance intelligence.

My strength is building complete solutions end-to-end:

Camera/NVR integration → AI detection pipeline → backend APIs → database → dashboard → alerts → deployment → testing → real-world optimization.

I can deploy AI systems on NVIDIA Jetson devices, dedicated GPU servers, cloud infrastructure, or optimized local machines using OpenVINO when clients want lower hardware cost and faster on-site deployment.

What makes me different is that I understand both the AI model and the business problem. I do not only train models or write scripts. I design the full architecture, optimize performance, handle real camera conditions, reduce false alerts, build clean APIs, and deliver a system that is stable enough for real users.

Clients work with me when they need a Computer Vision engineer who can take ownership, think practically, communicate clearly, and deliver high-quality production systems.

If you need AI video analytics, face recognition, smart CCTV monitoring, OpenVINO optimization, YOLO detection, edge AI deployment, or a complete Computer Vision product, I can help you design, build, and deploy it properly.

Steps for completing your project

After purchasing the project, send requirements so Avinashbhai can start the project.

Delivery time starts when Avinashbhai receives requirements from you.

Avinashbhai works on your project following the steps below.

Revisions may occur after the delivery date.

Requirement Review & Planning

I review your use case, footage, camera setup, and detection goals, then define the best technical approach for the workforce monitoring system.

Model & Pipeline Development

I build the detection, tracking, and event logic pipeline for worker activity monitoring based on your project needs.

Review the work, release payment, and leave feedback to Avinashbhai.