Maximum Worker Count
Ensure compliance and maintain safe crowd density with Maximum Worker Count for real-time monitoring of high-risk zones with capacity limits.

Maximum Worker Count is an AI-powered solution that helps prevent overcrowding with real-time detection.
- Get real-time insights of occupancy levels
- Receive instant notifications when occupancy limits are exceeded.
- Instant deployment models across multiple sites
- Generate comprehensive reports and data visualizations to track trends and identify areas for improvement



Key Features
Ready to Deploy Models
It comes with pre-trained models that can be deployed quickly, minimizing setup time and maximizing efficiency. These models are designed to handle various industry scenarios, ensuring immediate applicability and effectiveness.
Continuous Intelligence and Data Analysis
The system continuously gathers and analyzes data to offer real-time insights and alerts. This feature allows for proactive safety management, enabling quick responses to potential violations or hazards.
24/7 Monitoring
Constant surveillance of restricted zones prevents unauthorized access and ensures compliance. The round-the-clock monitoring guarantees that safety protocols are always upheld, reducing the risk of accidents and providing a secure environment.
Custom Models
Customized models offer flexibility and precision to tailor solutions to specific needs and address unique industry requirements, enhancing the system's ability to handle various safety challenges.
How it works
Monitoring for Enhanced Workplace Safety
Use your existing cameras
You can utilize your current cameras and don’t need to install anything new. Our solutions seamlessly integrate with your existing camera infrastructure, delivering a cost-effective and efficient approach.


Pick and Choose from 60 Prebuilt VisionAi apps
Choose from over 60 prebuilt Vision AI apps to meet your specific safety requirements. Each app can be easily added to your existing camera system, enhancing safety immediately.
Manage Your Workplace with Real-Time Alerts and Notifications
Set up alerts and notifications using our web app to remain updated with real-time event notifications. Our cloud-based platform provides easy access to video feeds, facilitating smooth incident management and prompt response.

Use Cases
Maximum Worker Count for Manufacturing Plants
Vision AI Maximum Worker Count aids in monitoring and managing worker flow in manufacturing plants, ensuring safe operations and compliance with safety regulations, thereby reducing accident risks.


Maximum Worker Count for Mining Industry
Our solution ensures safe worker count management in hazardous mining environments, preventing incidents and ensuring compliance with safety protocols.
Maximum Worker Count for Construction Sites
Vision AI Maximum Worker Count enhances site safety and efficiency by real-time monitoring worker counts on construction sites, ensuring safe zones for workers.


Maximum Worker Count for Warehousing
Through the monitoring and control of worker numbers in various zones, our solution helps to ensure operational efficiency and safety in warehousing by managing the number of workers.
Try it now
Test our VisionAI system quickly PyPI package.
On-prem installation available through Azure ARC Managed App
Azure Managed App
Enterprise Edition
FAQs
Learn more about
VisionAI Platform
Our VisionAI toolkit for workplace safety applications is built on state-of-the-art computer vision and deep learning technologies. It leverages several advanced deep neural network architectures as backbone and performs conventional ML applications such as Object Detection/Recognition, Keypoint detection, image segmentation, activity prediction and recognition. This enables our toolkit to accurately analyze video feeds in real-time, send out alerts and provide actionable insights for all scenarios.
We offer flexible deployment options to integrate the VisionAI toolkit into existing workplace safety systems. Our toolkit can be deployed on-premises, leveraging the computational power of local servers or can be embedded at the edge (in-camera). Alternatively, it can be deployed on Azure, taking advantage of the scalability and accessibility offered by Microsoft’s cloud platform.
With Visionify, it is easy to set up the defined area and predetermine what and how users receive alerts. As a result, you will get a detailed insight into various KPIs on your mobile app.
The pre-trained apps available in the VisionAI toolkit generally work out of the box. However, we also offer customized solutions tailored to your specific needs, provided as a consulting service through Azure Marketplace. Our team of experts can closely collaborate with you to tailor our VisionAI applications to address your unique requirements.
Yes, our VisionAI toolkit is designed to support seamless integration with existing surveillance camera systems. Our toolkit can communicate and trigger actions based on detected events or anomalies by leveraging APIs and standard protocols. This allows instantaneous responses like sending notifications via email or phone to relevant stakeholders.
At Visionify, we offer multiple solutions which find their application in several industries. Early fire detection, Leakage detection, Exclusion zone detection, Mobile phone detection, PPE detection, Slip and Fall detection, Smoking and vaping detection are some of the popular solutions organizations across industries implement.
Yes, the VisionAI toolkit is designed to be scalable and can be deployed in large-scale environments like industrial or manufacturing facilities where a high volume of data and many cameras or devices are involved. It can handle simultaneous processing from multiple cameras and support distributed architectures.
The computational resource requirement for running the VisionAI toolkit depends on various factors such as the number of cameras, video resolution, desired frame rate, and the specific applications in use. Our toolkit is optimized for efficient resource utilization, enabling real-time processing on capable hardware configurations. We provide detailed system requirements and guidance to ensure that your infrastructure meets the necessary specifications for seamless real-time processing and optimal performance.
Our object detection solution has three main components i.e., dual properties (object classification and localization), speed for real-time detection, and multiple spatial scales and aspect ratios.
Our engineers work on various algorithms such as CNN, Yolo v5, Faster R-CNN, Mask-RCNN, Deepsort, etc.
We used multiple tools and frameworks, including Pytorch, Yolov5, Tensorflow, and many more, as per the project requirement.