Spills and Leak Detection
Prevent Industrial Spillage and Leaks with our Advanced Vision AI solution for Leak Detection
Detect any type of leakages (gas/fluid) with an automated AI-based leakage detection model
- Detect fine leakages and check tank levels
- 24/7 live monitoring
- Swift identification with immediate notifications to maintenance teams
- Designate secure walkways and zones within facilities
Key Features
Empower Workplace Safety through Seamless Deployment, Continuous Intelligence, Customized Models, and Intuitive Tools
Ready to Deploy Models:
Immediate Deployment with Zero Additional Training. Seamlessly integrate into your existing systems while Prioritizing Security and Privacy on your Premises.
Continuous Intelligence and Data analysis
Post-deployment, our solutions evaluate elements such as lighting, brightness, contrast, and weather conditions. They perpetually monitor and self-tune to changes, guaranteeing heightened accuracy and precision.
Custom models
Tailor-made models for your workplace that adapts to your business challenges. Designed to cater unique requirements, our team ensures you receive a solution that perfectly suits your environment.
User-friendly Web App that makes everything simple
Keep a pulse on your workplace with our advanced web app, a user-centric platform with intuitive interface that enables users to easily navigate and utilize our tools
How it works
Streamlined Implementation and Real-Time EHS
Monitoring for Enhanced Workplace Safety
Monitoring for Enhanced Workplace Safety
Use your existing cameras
You can augment your existing camera infrastructure. No new Installation needed. Our solutions easily integrate with existing camera infrastructure providing an efficient and cost-effective approach.
Pick and Choose from 60 Prebuilt VisionAi apps
Choose from our extensive library of over 60 prebuilt Vision AI apps to suit your unique safety needs. Each app can be effortlessly added to your existing camera infrastructure, providing immediate enhanced safety capabilities.
Manage Your Workplace with Real-Time Alerts and Notifications
Configure alerts and notifications through our web-app and stay in the loop with real-time notifications of events. Our cloud-based platform ensures easy access to video feeds, enabling seamless incident management and efficient response times.
Use Cases
Leak Detection in Oil and Gas Fields
Stay ahead of potential hazards with our AI-powered Leak detection system. Instantly identify and mitigate risks from oil and gas leakages in pipelines and storage units. Harness the power of Vision AI for efficient predictive maintenance in your oil and gas operations.
Leak Detection for Water Pipes
Identify water leakage in pipes and tanks with our Vision AI solution. Our solution gives real-time insight into leakage location and triggers warning signs for quick redressal.
Leak Detection in the Shipping Industry
Accurately pinpoint gas, methane, and oil leaks in pipelines, wells, and vessels using Visionify’s advanced detection system that seamlessly integrates with existing camera setups.
Leak Detection in Chemical Plants
Detect the origins of leaks for various volatile liquids, acids, and solvents within your facility using Visionify’s Spills and Leak Detection that lets you proactively prevent substantial crises.
Leak Detection in Manufacturing Facilities
Prevent spillover of toxic and hazardous materials in manufacturing facilities by detecting leakage in the first place with specifically modeled computer vision solutions of Visionify.
Leak Detection in Food Processing Facilities
Prevent spillover and leakage of liquids or gasses and finished products with real-time detection and instant alerts that monitor and address any signs of leakage, safeguarding the quality and safety of both raw materials and finished products.
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
What underlying technology is used in your VisionAI toolkit for workplace safety applications?
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.
What deployment options do you provide for integrating the VisionAI toolkit into existing workplace safety systems?
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.
Does Visionify offer activity detection analytics?
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.
Can your solutions be customized or tailored to specific industries or unique safety requirements?
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.
Does the VisionAI toolkit support integration with existing safety monitoring systems?
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.
Which activity detection solutions do you offer currently?
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.
Can the VisionAI toolkit be deployed in large-scale environments?
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.
What is the computational resource requirement for running the VisionAI toolkit, and does it support real-time processing?
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.
What are the key components of your object detection solution?
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.
Which object detection algorithms do you work with?
Our engineers work on various algorithms such as CNN, Yolo v5, Faster R-CNN, Mask-RCNN, Deepsort, etc.
Which tools or frameworks do you leverage to build your working model?
We used multiple tools and frameworks, including Pytorch, Yolov5, Tensorflow, and many more, as per the project requirement.
