EPA’s Clean Water State Revolving Fund (SRF) provides assistance to states and local communities for wastewater infrastructure improvement projects, including green stormwater projects and necessary upgrades. However the Clean Water SRF hasn’t been properly funded for decades, despite the well-established economic returns and stimulus that occur from investing in America’s water infrastructure (every $1 in water infrastructure investment results in $2.40 of economic returns).
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Visual inspection intelligence with computer vision and data science
Machine vision, also known as Computer Vision, is the technology and models used to provide image-based and videos analysis intelligent automated inspections.
It is a system that uses visual computing technology to mechanically “see” the activities that take place one by one along the air, sky & seas.
What is underwater visual asset Inspection and why do I need it
Visual inspection intelligence can be land, sky & sea. This article will speak more about underwater inspections for offshore and marine applications.
A platform solution like Ookeani luure by Pagarba Solutions is one example of a AI powered system where unique “built-in” machine vision technology allows users to instantly inspect the underwater environment and carry out inspections audits and certifications without additional manual labor or professional divers.
This technology gives users time to carry out multiple inspections and identify sources of noise and leaks, saving valuable time and money.
Benefits of Underwater Visual Inspection
Underwater visual inspection systems have many benefits : Get visual inspection data for your production; on-the-fly from several cameras (instead of manually viewing the video data at a frame by frame rate) ; Fast and elegant integration, customised to your needs;
A decentralized or Centralized system to interpret and classify an entire product inventory at the same time.
How can underwater visual asset Inspection intelligence help me today ?
Underwater Inspection is a method of real-time visual inspection with the goal of detecting leaks, dangerous objects, irregularities or any hazardous situations. The underwater inspection is done using computer vision. It is used to identify anomalies and failures in parts, vessels, cargo, pipelines or facilities.
This system collects and presents data about the anomaly or failure. The presentation of data makes the information available to the people who are involved in fixing the problem or asset.
A direct benefit is that it improves the inspection process from several hours to a few minutes. The underwater visual inspection can be applied in industries like oil & gas, petrochemical, aerospace and defense, ship building, energy & power and pipelines.
Other Awesome Benefits of Underwater Visual Inspection intelligence
Various 3rd party software and data feed integrations are built to integrate with Pagarba Solutions Ookeani-luure software. No complex integration and process setup. Multi-platform integration. No technical issues. No limit of applications. Remote access via tablet or computer. Far superior method of inspection. No need to move the machine at all. No extra cost. Powerful underwater inspection ROV drone.
Underwater Inspection Process
Because of the nature of work at various depths and currents and weather , operations require constant monitoring for safety and integrity. To achieve this, operators need to place equipment at specified points in the water in order to obtain surface views. Or hire dedicated professional certified divers.
The first and most basic thing to look at is the integrity of the ship. This entails a thorough visual inspection. This part of the inspection is performed by an inspector diving down through the water to the bottom. The inspector must go through all of the same processes of regular operations. So, at any given time, at least one person is down at the bottom and a crew is up above monitoring the situation. And don’t forget about all the regulations and scheduling time and resource commitments. The equipment is needed to ensure that the human does not enter water at too high a pressure or current or wind and risk an environmental hazard or human casualty.
How to Inspect Underwater Assets
1. On the spot inspection with underwater ROV drone : The RoV drone goes under water to inspect the assets, collect data , process data, analyze it, run and train the AI models , return a visually stunning dashboard report that scanned 24 hrs worth of video analysis in under 30 minutes. Even real time if less intense.
As soon as the drone comes back to the surface, it’s time to recharge. There are lots of features that this machine vision technology offers: a. The ability to find even the smallest irregularity b. The ability to see surfaces underwater c. The ability to see shapes of submerged objects d. The ability to control the instrument and environment to get a better result e. The ability to inspect with more accuracy and quicker, compared to human sight f. Faster automated processing. G. Thermal and sonar complex analysis humans are incapable of doing.
Why does machine vision and AI help visual inspections?
The good news is that visual inspection has been around for centuries, first with people and animals , next with Audio and video cameras. It was at first considered too expensive and too complex for visual inspection to become the mainstream. However, as the inspection technology started to be integrated with modern visualization, automation and industrial control systems, AI-based technology in visual inspection and robotics have started to become widely popular. The bad news is that most of the machine vision and AI tools have limitations in the quality of the inspection they can provide. The good news is Pagarba solutions is the visual inspection intelligence experts.
Image recognition basics
Image recognition is a technique for automatically identifying the objects in an image and then classifying those objects into segments , categories and metadata. High definition images and objects are represented using pixel values. Image recognition algorithms can extract pixel values that represent an object or a color and can identify those pixel values.
A common approach is to employ a convolutional neural network to perform image recognition. Convolutional neural networks are a computational structure that learn to map features to representations of the object or the color. Neural networks can also be categorized into convolutional neural networks, net-based convolutional neural networks, and Recurrent Neural Networks amongst many more.
Visual inspection Object detection basics
For smart manufacturing applications, real-time visual inspection is a significant application of image-based machine vision. There is a wide variety of inspection solutions that can be implemented in a smart manufacturing environment. The most common inspection systems utilize the live image of a physical asset to perform a visual inspection. Each single-camera-based inspection system includes components that can: a. adjust object focus; b. remove foreground objects; c. correct for lighting; d. correct for exposure; e. correct for scene shape and contrast. The above are general image-based inspection systems, as defined by ISO/IEC 14443:2008.
how machine vision improves your inspections and maintenance cycles
It reduces downtime and enhances productivity as well as provide an automated step-by-step visual inspection intelligence predictive audit and risk video analysis planning routine did better maintenance scheduling. Help build your inspection and maintenance schedule by uploading inspection workflows, calendars and video search & analytics content discovery and correct defects.
Isolated Visual Inspection for industrial technology that has been integrated into many mobile cameras, replacing the need for an additional standalone inspection and maintenance tool.
Why Pagarba Solutions ?
Thinking machine vision underwater inspection is quite complex in terms of implementation. Although there are technologies that can inspect underwater with decent vision such as: Planar Wavefront Scanning, Direct Imaging Radars , Multi-Spectral Laser Scans, Scanning Electron Microscope , CMOS Cameras , etc. The proprietary machine vision and data science technology built in the Ookeani luure platform by Pagarba solutions is able to penetrate the water, listen to the air and se and not only scan the underwater environment, but build a 3d visual model of the sustainable water ecosystem figure.
Water Scanning systems or multi-spectral systems can be put in the water, from many different angles, to avoid waves. But sometimes, the saltwater can be removed by the water and this also affects the quality of the images. Pagarba Solutions finds innovative ways in solving these problems.
The items examined in this article are ways in which you could inspect underwater visual assets, not the only things you should examine to ensure that your overall asset lifespan is as long as it can be. The findings will help you go about your inspection and product inspection processes to ensure that you get what you want.
We at Pagarba Solutions love the sea. We love the water. One of the co-founders , Peter Jamack, is a swimmer, surfer, kayaker, scuba diver and owned a 34 foot wide body sailboat in San Diego.
Our other co-founder and CEO, Darrick Sogabe, lives, works and plays in San Diego. He enjoys the ocean, beach and loves taking his family on mini excursions to the Port of Los Angeles.
Who doesn’t love watching those huge container ships and vessels moving like an automated heavy equipment machine?
Our vision for Ookeani-luure goes far beyond technology for the maritime industry. Yes we love everything nautical, but The Pagarba Solutions family isn’t just thinking about integrating cool artificial intelligent and computer vision technologies for the sake of it.
We have a vision and value to help clean the oceans , help protect vessels, boats , container ships, docks and marinas. But we also drive toward a more automated efficient intelligent and clean maritime ecosystem.
A safer intelligent more sustainable and clean maritime ecosystem.
So what is our vision for better maritime safety & security ?
For Sustainable waterways, seas, rivers and an ecosystem where plastic and pollution aren’t invading every parts of our oceans and rivers and streams.
And According to the International Maritime Organization (IMO), “Of all the sectors that make up the global transport infrastructure, shipping probably has the lowest public profile and the least representative public image. Its importance is not well known although not a single area of our life remains unaffected by it.”
Our world is a well oiled machine because of the maritime and related industries.
MARITIME SECURITY VISION
Proactive & predictive insights for the prevention of intentional damage through sabotage, subversion, terrorism, CyberSecurity attacks and from a broad persepctive, relate to concerns such as:
- International peace and security
- Sovereignty/Territorial integrity/Political independence
- Security from crimes at sea [Piracy or armed hijackings]
- Security from infrastructure crimes & damage
- Resource security
- Environmental security
- Security of seafarers and fisheries
- CyberSecurity initiatives and implementation
MARITIME SAFETY VISION :
Proactive & predictive prevention of accidental damage or incidents of marine environmental pollution or loss of life at sea through the development of technical support systems. The auditing and inspection of recognized classification and certification societies; development of common methodologies and best practices for the investigation of maritime accidents, underwater and at ports and; the establishment of automated artificial intelligent underwater inspections , predictive simulated insights of vessel and people traffic monitoring and information systems.
Maritime Safety also embraces the development of Search and Rescue, Ports of Refuge and the development of emergency and contigency planning.
The assessment of the condition of marine and offshore coatings continues to be one of the major tasks addressed during a class survey and one that has benefited from the increased use of technology and remote inspection technologies (RITs) like underwater ROV drones and aerial drones.
The development of more efficient RITs – including unmanned and remotely operated vehicles – has enabled a safer and more efficient visual inspection of the condition of anti-fouling , corrosion and protective coatings in hard to access and dangerous locations.
Visual inspections by professionally trained and certified divers and marine surveyors continue to make up the majority of maritime maintenance surveys, but the growing use of ROVs and RITs provides an opportunity to increase human efficiency as well as artificial intelligent computing scalability.
The accuracy of these underwater assessments is dependent upon the diver and marine inspector’s experience and knowledge as well as their familiarity with the different types of structures being inspected.
While class inspections demand a high level of experience from divers and surveyors, these factors may cause inconsistency during anti-fouling and coating inspections.
To overcome the challenges in conventional inspection of coating condition and advance the use of new technology, Pagarba Solutions has been an AI for the maritime industry leader applying Artificial Intelligence (AI) , Machine Learning (ML) and Computer Vision in an underwater inspection drone and video image recognition solution designed to aid marine surveyors and inspectors in reviewing video and image data and making informed anti-fouling and coating condition assessments.
Pagarba Solutions ookeani-luure underwater inspection drone platform , powered by AI, data science and image recognition automatically analyzes input video and image data, identifies anti-fouling , rust corrosion and coating failure areas and grades and predicts the coating condition of the structure.
Fleet operators , boat insurance Adjustors, marina owners and Professional marine divers and Inspectors can use these notifications and results as an easy to quantify reference dashboard and guide.
The predictions and assessment range from corrosion anomalies, anti-fouling issues, hull risks, and coating recommendations and guidance, to improve the consistency of anti-fouling and coating assessments.
The Ookeani-luure platform can also be utilized during screening inspection processes, where it can be used as a real-time and on-demand simulation filter to identify and predict certain critical areas for further review and analysis.
The Artificial intelligence and computer vision algorithm/models utilize videos and images taken from the different types of maritime and offshore assets you own , Various cameras and underwater inspection drone footage and can process with various kinds of structural components, coating failures, anti-fouling issues, cracks , lighting conditions and rust corrosion.
The Ookeani-luure platform uses AI and computer vision technology for the marine and offshore industry as a means of supporting professional divers and marine inspectors with a quick and reliable means to aid in their decision-making processes during anti-fouling and coating assessment tasks as well as identifying cracks, fractures or large structural deformations.
It’s a cutting edge maritime changing solution , especially when using remote inspection technologies like an underwater inspection drone (ROV).