Automatic asphalt damage recognition using artificial

Automatic asphalt damage recognition using artificial ...

Dec 12, 2017 · Automatic asphalt damage recognition using artificial intelligence BAM Infra and ICT Group have developed a revolutionary technology that automatically recognizes and classifies damage to the asphalt on roads.

Damage Inspection with AI - Automating Claims Processing ...

Learn how insurance companies can use deep learning to automate claims processing with automatic damage inspection of mobile phones, vehicles, roofs, etc. Learn how Insurance companies can use artificial intelligence to automate claims processing by automatically detecting various kinds of damages - mobile phones, vehicles, roofs, etc.

Author: Filip Zelic

Image processing based automatic recognition of asphalt ...

Patch detection is an important task in pavement condition survey. This study establishes an automatic approach for asphalt pavement patch recognition based on image texture analysis and hybrid machine learning algorithms.

Cited by: 4

Automatic recognition of asphalt pavement cracks using ...

Crack detection is a crucial task in periodic pavement survey. This study establishes and compares the performance of two intelligent approaches for automatic recognition of pavement cracks. The first model relies on edge detection approaches of the Sobel and Canny algorithms.

Cited by: 22

An Artificial Intelligence Method for Asphalt Pavement ...

An Artificial Intelligence Method for Asphalt Pavement Pothole Detection Using Least Squares Support Vector Machine and Neural Network with Steerable Filter-Based Feature Extraction. Faculty of Civil Engineering, Institute of Research and Development, Duy Tan University, R.809–No.

Cited by: 16

(PDF) Automatic Recognition of Asphalt Pavement Cracks ...

Automatic Recognition of Asphalt Pavement Cracks Based on Image Processing and Machine Learning Approaches: A Comparative Study on Classifier Performance ... of machine learning approaches used ...

5 Ways Artificial Intelligence is Impacting the Automotive ...

Nov 30, 2018 · Using advanced AI facial recognition algorithms, eyeSight can detect which driver is operating the vehicle. Since the husband, wife, and young adult child each have their own preferences, the system can automatically adjust the seat, mirrors, and temperature to suit the individual.

AI in video recognition: Assessing video footage with a ...

In cooperation with ICT Group BAM has investigated whether damage recognition can also be executed by a self-learning algorithm. For this purpose a model trained in image recognition was used. The model was trained with a set of 2500 images of eight different types of asphalt damage.

Automatic Car Damage Recognition using Convolutional ...

Automatic Car Damage Recognition using Convolutional Neural Networks Author: Jeffrey de Deijn Internship report MSc Business Analytics March 29, 2018 Abstract In this research convolutional neural networks are used to recognize whether a car on a given image is damaged or not. Using transfer learning to take advantage of available models that ...

Image Processing–Based Classification of Asphalt Pavement ...

Sep 05, 2018 · Timely and accurate detection of asphalt pavement crack is very crucial in pavement maintenance. This study establishes an intelligent approach for automatic recognition of pavement crack patterns. Image processing techniques including nonlocal means, steerable filter, projective integral, and image thresholding are used synergistically to extract useful features from digital images.

DigitalNXT - OrangeNXT

We use artificial intelligence (machine learning and deep learning) in a variety of data to enable you to discover entirely new links. And you can effortlessly add new data sources, including weather and traffic forecasts, and use this data to further improve your planning process.

Artificial Intelligence Applications in Civil Engineering

Artificial intelligence is to develop the machine elements that analyze the human’s thinking system and reflect the same to reality. In recent years, artificial intelligence applications have found a wide range of applications in civil engineering and the other engineering branches.

Author: Tayfun Dede, Murat Kankal, Ali Reza Vosoughi, Maksym Grzywiński, Moacir Kripka

Automatic recognition of road damage and assets

Automatic recognition of road damage and assets. Netherlands - In the Netherlands, regional road authorities alone spend five to six billion euros a year on the maintenance of roads, bridges and viaducts. Automatic damage recognition makes road inspections faster, cheaper and more objective.

How Artificial Intelligence Enables Smarter Claims Processing

Oct 23, 2017 · Artificial Intelligence is making traditional claims processing a thing of the past. Companies are pioneering new cognitive solutions that are making the claims process faster, smarter and more efficient than ever before.

Image Based Techniques for Crack Detection, Classification ...

Asphalt roads are the basic component of a land transportation system, and the quality of asphalt roads will decrease during the use stage because of the aging and deterioration of the road surface.

Automatic Car Damage Recognition using …

In this research convolutional neural networks are used to recognize whether a car on a given image is damaged or not. Using transfer learning to take advantage of available models that are trained on a more general object recognition task, very satisfactory performances have been achieved, which indicate the great opportunities of this approach.

AI for motor insurance claims | Tractable

Using AI to review processed claims catches potential inaccuracies, leading to significant cost savings. Any vehicle, anywhere. Our AI is Year, Make and Model agnostic - meaning it works for any car, in any country. ... Immediate damage assessments means accelerated triage from first notice of loss - no total losses sent to the bodyshops, and a ...

Machine Learning is Fun Part 6: How to do Speech ...

Dec 24, 2016 · Update: This article is part of a series. Check out the full series: Part 1, Part 2, Part 3, Part 4, Part 5, Part 6, Part 7 and Part 8! You can also read this article in 普通话 , 한국어 ...

Efficient pavement crack detection and classification ...

Jun 13, 2017 · Each year, millions of dollars are invested on road maintenance and reparation all over the world. In order to minimize costs, one of the main aspects is the early detection of those flaws. Different types of cracks require different types of repairs; therefore, not only a crack detection is required but a crack type classification. Also, the earlier the crack is detected, the cheaper the ...

Cited by: 27

EU Commission Mulls Facial Recognition Ban In AI 'White ...

Jan 17, 2020 · If implemented, the plans could throw current AI projects off course in some EU countries, including Germany’s wish to roll out automatic facial recognition at 134 railway stations and 14 airports.

c# - How to write artificial intelligence in .net ( C ...

How to write artificial intelligence in .net ( C # ) [closed] ... I want to write some code that need to use artificial intelligence. I dont know how to do it. Is there some libraries that i can use for this ? Is there some .net environment ( something like Prolog ) that i can use ? ... Are you trying to do computer vision or speech recognition ...

The Good, The Bad and The Ugly of Artificial Intelligence ...

Apr 24, 2018 · 63% believe the pressure to reduce costs will require the use of AI ... long enough to result in brain damage or death. ... capabilities — namely automatic speech recognition in a …

Author: Toby Sakata

Israel’s Rafael integrates artificial intelligence into ...

Jun 17, 2019 · Israel’s Rafael integrates artificial intelligence into Spice bombs ... its Spice 250 with artificial intelligence alongside automatic target recognition to be used with scene-matching ...

Deep Learning‐Based Crack Damage Detection Using ...

Mar 23, 2017 · Deep Learning‐Based Crack Damage Detection Using Convolutional Neural Networks. Young‐Jin Cha. Corresponding Author. E-mail address: ... spot, shadows, and very thin cracks). Comparative studies are conducted to examine the performance of the proposed CNN using traditional Canny and Sobel edge detection methods. The results show that the ...

Cited by: 550

News | ControlExpert

ON AUTOMATIC IMAGE RECOGNITION . ControlExpert came out on top when competing with 7 providers on automatic image recognition. After a preparation phase Warta, the Polish subsidiary of Talanx International AG, is starting tests with ControlExpert regarding the use of artificial intelligence in the recognition of car damage from accidents.

Artificial Turf - Water Use It Wisely

It seems like the perfect solution. Replace thirsty lawns with something that plays the part yet is perfectly (un)dead and therefore requires no water, no maintenance, and no sweat.But the story of artificial turf is not as simple as it sounds, and most of that has to do with the “no sweat” part of it.Let me explain.

Deep Learning for Asphalt Pavement Cracking Recognition ...

Due to the complexity and diversity of pavement surfaces, pavement cracking detection is a challenging task even for human operators. The automation of pavement cracking detection generally requires robust algorithms with high level of intelligence.

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Convolutional neural networks for damage detection ...

Convolutional neural networks for damage detection. Damage detection from sensor data is at the basis of predictive maintenance. Mainly, one needs to discriminate the normal from the anomalous (damaged) status, and estimate the severity of the damage to forecast the right course of action (maintenance, repair, replacement).

News | ControlExpert

ControlExpert came out on top when competing with 7 providers on automatic image recognition. After a preparation phase Warta, the Polish subsidiary of Talanx International AG, is starting tests with ControlExpert regarding the use of artificial intelligence in the recognition of car damage from accidents.

AI Applications in Construction and Building – Current Use ...

Relative to banking, finance or healthcare, construction is still a small market for artificial intelligence and emerging applications are focused on finding patterns in large datasets which would either be too difficult for humans to process or would take them too long.

Automated Critical Test Findings Identification and Online ...

Jul 03, 2017 · Recognition of acute infarct at noncontrast-enhanced head CT is an important but secondary finding in the emergent setting because by the time hypoattenuation is detected, the area has likely already undergone irreversible ischemic damage (12).

Reliability Analysis and Artificial Intelligence By Zach ...

customer damage functions (SCDF), which are used to calculate the expected customer outage cost (ECOST). ECOST is then used to perform an economic evaluation of the various project alternatives.

Artificial Intelligence - AI projects - Pantech Blog

Aug 12, 2019 · Artificial Intelligence – AI projects. ... Food recognition using Matlab is done through CNN using deep learning in Matlab with its support packages. It is done to recognize the Indian food such as Dosa, Idly etc. ... Earthquake damage prediction using machine learning

Hail Damage: high-resolution cameras detect every dent ...

Following hailstorms, many vehicles must be inspected for hail damage in the shortest possible time. With the aid of 17 high-resolution Manta cameras from Allied Vision, adomea’s hail scanner MIKo quickly and thoroughly detects even the smallest dents, accelerating …

The Top 8 Image Recognition Tools | Brandwatch

Clarifai is one of the most accurate out-of-the-box image recognition APIs. It can tag, organize, and understand images and video using artificial intelligence and machine learning. Clarifai offers a free API which lets users plug in any image data they have to check out how powerful the tool is.

Recent Automation in Construction Articles - Elsevier

Recent Automation in Construction Articles. ... Automatic detection of moisture damages in asphalt pavements from GPR data with deep CNN and IRS method. ... Artificial intelligence in the AEC industry: Scientometric analysis and visualization of research activities. April 2020.

Top 100+ Image Processing Projects - Source Code and ...

Aug 05, 2017 · sir my project on facial expression recognition in humans using image processing sir my mail id smitadhon11@gmail sir i done preprocessing code, features extractions on face image code, centroides of each features, my using distance vector method is calculate distance vector these code i done and correct output but next steps i face problem plz send me matlab code for ” facial expression ...

Bangla Automatic Number Plate Recognition System …

Abstract— Bangla automatic number plate recognition (ANPR) system using artificial neural network for number plate inscribing in Bangla is presented in this paper. This system splits into three major parts- number plate detection, plate character segmentation and Bangla character recognition.

Drones and Artificial Intelligence - Drone Industry Insights

Since many AI-related tasks for drones are dealing with image recognition, the unmanned aerial vehicle must be able to perceive and absorb the environment or objects in some way. This is usually done with sensors such as electro-optical, stereo-optical, and LiDAR. This …

How to Control Erosion & Runoff | Install-It-Direct

10 Ways to Control Erosion and Runoff. The emphasis you need to place on erosion and runoff when designing your landscape depends on the particular features of your yard.. For example, if your backyard gently slopes away from your home, you may be able to use simple, affordable landscaping options to prevent excessive erosion, but if you have a steep incline in your backyard, you may need more ...

AI & ML - Reply Offering

Assessing car damage with the use of Image Recognition Data Reply has developed a framework based on Deep Learning techniques, Data Mining and Natural Language Processing capable of classifying input data, such as the photos taken by appraisers and the repair data recorded by car repair shops.

Condition monitoring on road pavement by the use of laser ...

The increase in the number of passing a vehicle on a road causes the surface damage and interior of asphalt roads. Damage from the surface causes severe due to …

Image Recognition - MATLAB & Simulink

Image Recognition Using Machine Learning. A machine learning approach to image recognition involves identifying and extracting key features from images and using them as input to a machine learning model. An example of this is classifying digits using HOG features and an SVM classifier.

Image and Text Recognition with TensorFlow Using ...

Jun 15, 2016 · Then, he spoke about image recognition with a simple MNIST data set for TensorFlow and how it can be implemented with a convolutional neural network. Viswanath also explored text analysis using word2vec as an example. He demonstrated how not only symbols, but whole words and word sequences can be recognized when described as vectors.

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with at least one of the words. without the words. where my words occur

Road defects detection - Deep Systems / Artificial ...

Road defects detection. Automatic road defect detection software was developed for one of the leading russian research group. ... In the case of image recognition, models based on artificial neural networks are the most effective. More specifically, we have used convolutional neural network. Pic 3.

Figure 11 from Pavement crack detection using the Gabor ...

Deep Learning based Framework for Automatic Damage Detection in Aircraft Engine Borescope Inspection. Zejiang Shen ... Journal of Pattern Recognition Research 1, pp. 140-147, 2010. 2010; ... VIEW 2 EXCERPTS. Automatic Asphalt pavement crack detection and classification using Neural Networks. Tonis Saar, Ott Talvik. 2010 12th Biennial Baltic ...

Bee2FireDetection – Long Range Early Automatic Fire …

Early fire detection is critical to contain damage and avoid total devastation. Bee2FireDetection solution operates 24×7 as a surveillance system, automatically detects fires in early stages in distances up to 15km/9.3mi and assist in decision-making processes, enabling rapid response and support in firefighting operation efforts.

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Data | Free Full-Text | Deep Learning in Data-Driven ...

Deep learning, more specifically deep convolutional neural networks, is fast becoming a popular choice for computer vision-based automated pavement distress detection. While pavement image analysis has been extensively researched over the past three decades or so, recent ground-breaking achievements of deep learning algorithms in the areas of machine translation, speech recognition, and ...

ASNT NDT Library ...

Su, Z., and L. Ye, 2005, “Lamb Wave Propagation-Based Damage Identifi-cation for Quasi-Isotropic CF/EP Composite Laminates Using Artificial Neural Algorithm: Part II - Implementation and Validation,” Journal of Intelligent Material Systems and Structures, Vol. 16, No. 2, pp. 113–125.

What are the advantages of artificial intelligence? - Quora

The ability of a computer program to learn and the reason is artificial intelligence. Anything can be called artificial intelligence if it involves a program that usually relies on human intelligence. Artificial intelligence applications have huge...

Digital image processing techniques for detecting ...

Dec 07, 2013 · This paper presents a survey on methods that use digital image processing techniques to detect, quantify and classify plant diseases from digital images in the visible spectrum. Although disease symptoms can manifest in any part of the plant, only methods that explore visible symptoms in leaves and stems were considered.

Transfer learning with TensorFlow Hub | TensorFlow Core

TensorFlow Hub is a way to share pretrained model components. See the TensorFlow Module Hub for a searchable listing of pre-trained models. This tutorial demonstrates: How to use TensorFlow Hub with tf.keras.; How to do image classification using TensorFlow Hub. How to do simple transfer learning.

Pattern recognition algorithms for density ... - DeepDyve

Aug 01, 2014 · Read "Pattern recognition algorithms for density estimation of asphalt pavement during compaction: a simulation study, Journal of Applied Geophysics" on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips.