You will get Industry Counting & Number Plate Detection Solution By Video Analytics
Project details
AI-powered Video Analytics solution for real-time object counting and Automatic Number Plate Recognition (ANPR) using CCTV cameras. This project helps businesses monitor vehicles, track entries/exits, improve security, and generate accurate analytics through an intelligent dashboard.
Our solution supports live camera streams, high-accuracy detection, real-time alerts, data reporting, and scalable deployment for supermarkets, warehouses, parking areas, toll plazas, factories, and smart city applications.
Our solution supports live camera streams, high-accuracy detection, real-time alerts, data reporting, and scalable deployment for supermarkets, warehouses, parking areas, toll plazas, factories, and smart city applications.
Machine Learning Tools
Databricks Platform, NVIDIA AI Platform, Open Neural Network Exchange, Python, Python Scikit-Learn, TensorFlow, Tesseract OCRWhat's included
| Service Tiers |
Starter
$200
|
Standard
$500
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 2 days | 6 days | 9 days |
Number of Revisions | 1 | 3 | 5 |
Number of Model Variations | 1 | 3 | 5 |
Number of Scenarios | 1 | 4 | 6 |
Number of Graphs/Charts | 3 | 6 | 10 |
Model Validation/Testing | |||
Model Documentation | - | - | |
Data Source Connectivity | - | ||
Source Code | - |
About Muhammad Danish
AI Chatbots | AI Applications | Automation Systems | Video Analytics
Karachi, Pakistan - 11:25 am local time
At Sprectex AI, we are a team of 50+ skilled professionals delivering advanced solutions across AI, software, and hardware domains for clients worldwide.
Steps for completing your project
After purchasing the project, send requirements so Muhammad Danish can start the project.
Delivery time starts when Muhammad Danish receives requirements from you.
Muhammad Danish works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis & Camera Setup
Understand client requirements, analyze CCTV/camera setup, define counting zones, and confirm number plate detection workflow and accuracy requirements.