You will get AI Parking Management & ALPR: Real-time ParkSentra Occupancy Suite
Project details
ParkSentra is an intelligent ecosystem designed to eliminate the friction of modern parking management. While traditional systems rely on expensive ground sensors that break, ParkSentra uses Advanced Computer Vision to monitor your entire lot from above. By combining YOLOv8 with Automated License Plate Recognition (ALPR), I turn your existing security cameras into an automated revenue and enforcement engine.
The ParkSentra Advantage:
Real-Time Occupancy: A live visual dashboard showing exactly which spots are open, reducing traffic and improving the user experience.
Automated Enforcement: Identify "Overstayers" or unauthorized vehicles the moment they park, sending instant notifications to your enforcement team.
Frictionless Access: Speed up entry and exit with ALPR-triggered gate controls, reducing the need for physical tickets or human attendants.
Stop guessing your lot's performance. Deploy ParkSentra and manage your parking assets with data-driven precision.
The ParkSentra Advantage:
Real-Time Occupancy: A live visual dashboard showing exactly which spots are open, reducing traffic and improving the user experience.
Automated Enforcement: Identify "Overstayers" or unauthorized vehicles the moment they park, sending instant notifications to your enforcement team.
Frictionless Access: Speed up entry and exit with ALPR-triggered gate controls, reducing the need for physical tickets or human attendants.
Stop guessing your lot's performance. Deploy ParkSentra and manage your parking assets with data-driven precision.
AI Development Type
Model Tuning, Recommendation SystemAI Tools
Amazon SageMaker, Azure Machine Learning, Google AutoML, Keras, NVIDIA AI Platform, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$1,500
|
Standard
$3,500
|
Advanced
$5,500
|
|---|---|---|---|
| Delivery Time | 8 days | 20 days | 30 days |
Number of Revisions | 3 | 6 | 8 |
AI Model Integration | |||
Detailed Code Comments | - | ||
Knowledge Graph | - | ||
Model Documentation | |||
Ontology | - | - | |
Source Code | - | ||
Taxonomy | - |
Frequently asked questions
About Suhal
AI & ML Engineer | Real-Time Computer Vision & Edge AI Expert
Chattogram, Bangladesh - 7:03 pm local time
If you're working with RTSP streams or surveillance cameras and need intelligent monitoring with alerts, I can help you design and deploy a production-ready system that actually works in real environments.
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👍 Proven Results
- Built a real-time system processing 16+ RTSP camera streams simultaneously
- Achieved 95% detection accuracy with live alerting
- Designed scalable multi-camera pipelines with dashboard integration
- Optimized models for edge devices (Jetson, Raspberry Pi)
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👍 What I Can Build For You
1) AI-powered CCTV monitoring systems (real-time detection & alerts)
2) Shoplifting / abnormal activity detection for retail
3) Smart apartment security (intrusion, loitering, tailgating detection)
4) PPE detection systems (helmet, vest compliance) for factories
5) Multi-camera RTSP analytics dashboards
6) Edge AI deployment for low-latency, on-device inference
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👍👍 Core Expertise
### Real-Time Computer Vision
1) RTSP / CCTV stream processing (OpenCV, YOLO, TensorFlow)
2) Object detection, tracking & behavior analysis
3) Multi-camera system architecture & optimization
### Edge AI & Optimization
- NVIDIA Jetson / Raspberry Pi deployment
- TensorRT, quantization, pruning for fast inference
### AI System Development
- End-to-end pipeline: data → model → deployment
- Flask / FastAPI / Streamlit apps for real-time interaction
- GStreamer, FFmpeg for video processing
### AI Dashboards & SaaS Integration
- React / Next.js dashboards for live analytics
- Alerts, logs, heatmaps, and monitoring systems
- Full-stack AI SaaS solutions (backend + frontend + deployment)
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## Bonus Capabilities (When Needed)
- AI Assistants & LLM integration (Chat with your data, automation tools)
- Predictive analytics & anomaly detection
- Time-series modeling and forecasting
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## How I Work
1. Understand your camera setup & use case
2. Design a scalable AI pipeline tailored to your needs
3. Build and optimize the model for real-world performance
4. Deploy with dashboards, alerts, and monitoring
5. Support, iterate, and improve accuracy over time
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## Why Work With Me?
1) I focus on real-world performance, not just model accuracy
2) I’ve built systems that run continuously on live camera feeds
3) I understand both AI and production deployment challenges
4) I deliver clean, scalable, and maintainable solutions
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## Let’s Build Something Intelligent
If you're looking to upgrade your CCTV system with AI or build a smart surveillance solution from scratch, I’m ready to help.
Send me a message and let’s discuss your project.
Steps for completing your project
After purchasing the project, send requirements so Suhal can start the project.
Delivery time starts when Suhal receives requirements from you.
Suhal works on your project following the steps below.
Revisions may occur after the delivery date.
Optical Site Survey
I review camera angles to ensure License Plates are legible (ALPR) and all parking stalls have a clear line of sight.
Occupancy Model Training
I train the YOLOv8 model to recognize empty vs. occupied spots across different lighting and weather conditions.