Computer vision – light poles inspection with ai powered vision system
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The government of Brazil conducts a survey that keeps the record of each and every electric pole installed across all different local regions. To prepare a database of all the poles installed, a manual inspection needs to be carried out. However, there have been inconsistencies in the results of the inspection and the process of the inspection itself is time-consuming.
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The government of Brazil conducts a survey that keeps the record of each and every electric pole installed across all different local regions. To prepare a database of all the poles installed, a manual inspection needs to be carried out. However, there have been inconsistencies in the results of the inspection and the process of the inspection itself is time-consuming.Visual pattern recognition in robotics
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3) Detection and recognition are the major steps - detection locates signs, and recognition identifies patterns to control the robot's movement accordingly.
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Computer vision – light poles inspection with ai powered vision system converted
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The government of Brazil conducts a survey that keeps the record of each and every electric pole installed across all different local regions. To prepare a database of all the poles installed, a manual inspection needs to be carried out. However, there have been inconsistencies in the results of the inspection and the process of the inspection itself is time-consuming.Visual pattern recognition in robotics
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2) The standard technique involves color segmentation, shape detection using templates, and specific sign detection. The presented algorithm applies a color filter to mark signboard borders, aiming to minimize detecting non-sign red colors.
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Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Climate Impact of Software Testing at Nordic Testing Days
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...
Join us to introduce Milvus Lite, a vector database that can run on notebooks and laptops, share the same API with Milvus, and integrate with every popular GenAI framework. This webinar is perfect for developers seeking easy-to-use, well-integrated vector databases for their GenAI apps.
Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
How to Get CNIC Information System with Paksim Ga.pptx
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Essentials of Automations: The Art of Triggers and Actions in FME
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
20 Comprehensive Checklist of Designing and Developing a Website
Dive into the world of Website Designing and Developing with Pixlogix! Looking to create a stunning online presence? Look no further! Our comprehensive checklist covers everything you need to know to craft a website that stands out. From user-friendly design to seamless functionality, we've got you covered. Don't miss out on this invaluable resource! Check out our checklist now at Pixlogix and start your journey towards a captivating online presence today.
Video Streaming: Then, Now, and in the Future
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
National Security Agency - NSA mobile device best practices
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
“I’m still / I’m still / Chaining from the Block”
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
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National Security Agency - NSA mobile device best practices
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Computer vision – light poles inspection with ai powered vision system
- 1. Computer Vision – Light Poles Inspection With AI Powered Vision System Overview: The government of Brazil conducts a survey that keeps the record of each and every electric pole installed across all different local regions. To prepare a database of all the poles installed, a manual inspection needs to be carried out. However, there have been inconsistencies in the results of the inspection and the process of the inspection itself is time-consuming. Client Requirements : To identify multiple characteristics of three types (wooden and Metallic) of electric poles – ● Check the presence/absence of the street lights/illuminations ● Check the material of the poles (Concrete, Metallic, or Wooden) ● Check for the presence/absence of the distributor transformer fixed on the pole.
- 2. How Is The Problem Being Addressed Currently? The inspection is completely manual. Operators are assigned to every region to conduct the inspection and record it manually. The average inspection time to completely inspect one pole is 25-30 seconds. Recommended, Computer Vision – Light Poles Inspection With AI Powered Vision System How Can AI Solve This Problem? An AI-powered vision system with a camera will be developed for the inspection of the poles. The solution development journey is divided into 4 parts which are Image Acquisition, Machine Learning, Solution Deployment, and accuracy Improvement. PORTABLE IMAGE ACQUISITION An image acquisition software will be developed and fed into a tablet to acquire the images of the poles from different orientations and store them to QE®C (Qualitas EagleEye® Cloud). These tablets are given to a number of officials to take a set of images of the poles. The image acquisition part is the most crucial part of the journey as it helps to train the AI model in order to get correct accurate results.
- 3. MACHINE LEARNING A solution is developed using the acquired images. Each type of pole (with and without the transformer and lights) is trained, with the help of a different set of images by making bounding boxes/circles around them i.e. also known as data annotation. This data annotation is done in QE®C (Qualitas EagleEye® Cloud) with a simple ‘point and click’ tool.
- 4. SOLUTION DEPLOYMENT The trained model will then be installed on multiple devices (Tablets). These devices are portable vision inspection systems that are able to detect the material of the poles, lights, and transformer in real-time and display the results on the screen. Further, these results will be recorded into the database.
- 5. ACCURACY IMPROVEMENT Deep Learning (DL) programs are created to train the machine vision system (Portable Tablets in this case) to understand the various untrained lights, transformers, and materials of the poles. The results will be reflected on the UI in real-time. Conclusion POC (Proof Of Concept) is conducted and the following conclusion is observed: 1. False acceptance is reduced to 1 percent that would help our customers to reduce the recall rates. 2. Inspection cycle time is reduced to less than one second that would help our client to increase delivery rates. 3. Human intervention is reduced by 66 percent that translates to reduced labor and training costs For More Visit: Vision Automation and Robotic Solution | Automated Vision Inspection | Machine Vision R&D Consultancy