• Train




          Data Collection

          Building Blocks​

          Device Enrollment

          Monitoring Dashboards

          Video Annotation​

          Application Editor​

          Device Management

          Remote Maintenance

          Model Training

          Application Library

          Deployment Manager

          Unified Security Center

          AI Model Library

          Configuration Manager

          IoT Edge Gateway

          Privacy-preserving AI

          Ready to get started?

          Expert Services
  • Services
        • Resources



          Why Viso Suite?

          The Viso Blog

          About Viso

          Evaluation Guide

          Explore Use Cases


          Viso Suite Whitepaper

          Industry Reports

          Support Center

          ROI Impact Study

          Technology Guides


          Security & Trust


          Why Viso Suite

          Viso Suite is the most advanced no-code computer vision platform to build, deploy and scale your applications. It is trusted by leading Fortune Global companies.

  • Pricing

Parking Lot Occupancy

Complete application to detect vehicles with Computer Vision and Deep Learning

What is Parking Lot Occupancy Detection?

A visual parking lot occupancy detection uses deep learning algorithms that process the real-time video stream of common surveillance or IP cameras. Such a detection system is able to employ the camera systems (CCTV) that are pre-installed for security purposes. General surveillance and parking lot occupancy detection can be performed simultaneously.

Deep learning models are used to determine the occupancy of parking spaces from images obtained by surveillance cameras. Such deep neural networks achieve high accuracy and applicability in real-time environments.

Key Features of Parking Lot Occupancy Monitoring

Real-time parking lot occupancy detection allows decentralized processing for public and private parking facilities.

  • Detection and classify vehicles in pre-defined parking slots.
  • The system checks the availability of parking slots in real-time.
  • Deep learning methods are robust enough to operate with multiple weather conditions and challenging daylight situations.
  • Edge AI with on-device machine learning allows privacy-preserving and high-performance image recognition.

Value of Occupancy Detection with Deep Learning

Computer vision based parking lot detection uses deep learning models to determine if a parking spot is vacant. Compared to wired or wireless sensor-based methods, there is no installment of costly sensors for every parking space required (along with high installation and maintenance costs for large-scale applications). In comparison, AI vision-based systems are highly scalable and can be used in indoor environments like mega shopping malls or outdoor parking lots.

  1. Vision-based parking lot occupancy detection with deep learning saves cost compared to costly sensor-based techniques.
  2. Parking lot optimization helps reduce traffic congestion during peak hours and traffic flows in cities caused by people cruising for a parking spot (about 30%).
  3. No additional infrastructure is required for camera-based solutions, provided that the facility is equipped with CCTV surveillance cameras covering the parking spaces.
  4. Vision-based solutions provide the exact location of the vacant parking space, a requirement for navigation of vehicles to vacant parking spaces.
  5. High applicability of AI vision methods to on-street and residential parking spaces (private on-device machine learning).
Last updated
February 7, 2022
Requires Viso Suite

How to get started

This solution is built on Viso Suite, the all-in-one computer vision platform to deploy, run and scale the solution with powerful tools and infrastructure.

To get started, request a personal demo, we will put together a plan that includes all the services you need to get started.

You are in good company

Other Solutions

Pothole Detection
Pothole Detection
Automated detection of potholes with AI vision
Get started
Automatic Number Plate Recognition (ANPR)
Automatic Number Plate Recognition
Automated Number Plate Recognition to identify vehicles in real-time.
Get started
Ergonomic Risk Analysis
Ergonomic Risk Analysis
AI-based ergonomic risk analysis using cameras to detect the human posture of employees.
Get started
Play Video
Would you like a demo?

See how your team can build your real-world AI vision systems faster with our end-to-end solution.

Schedule a live demo

Not interested?

We’re always looking to improve, so please let us know why you are not interested in using Computer Vision with Viso Suite.