Best AI tools for< Detect Vehicle Damage >

Fyusion is an AI-powered application that specializes in vehicle damage detection through advanced technology and deep AI understanding. It offers stunning 3D vehicle imagery and actionable insights for a comprehensive view of the vehicle's condition. Fyusion's technology revolutionizes the automotive industry by providing comprehensive condition reporting and interactive 3D imaging solutions. The application is utilized in various sectors, including wholesale, dealerships, and fleet operators, to enhance decision-making processes and streamline vehicle inspections.

Luminar is a leading developer of automotive lidar technology. The company's mission is to make roads safer by eliminating vehicle accidents. Luminar's lidar sensors provide cars with a detailed view of their surroundings, enabling them to make better decisions and avoid collisions. Luminar's technology is being used by a number of automakers, including Volvo, SAIC Motor, and Polestar.

AEye is a company that provides software-defined lidar solutions for autonomous applications in the automotive, trucking, and smart infrastructure industries. Their 4Sight Intelligent Sensing Platform uses software-definable lidar to enhance perception, enabling early detection and supporting autonomy. AEye's lidar products are designed to provide high resolution with long-range accuracy, and they can be adapted to any application or use case in real time. The company has forged strategic partnerships with best-in-class companies around the world to expand its global capabilities and meet the growing demands for its products.

Visionify.ai is an advanced Vision AI application designed to enhance workplace safety and compliance through AI-driven surveillance. The platform offers over 60 Vision AI scenarios for hazard warnings, worker health, compliance policies, environment monitoring, vehicle monitoring, and suspicious activity detection. Visionify.ai empowers EHS professionals with continuous monitoring, real-time alerts, proactive hazard identification, and privacy-focused data security measures. The application transforms ordinary cameras into vigilant protectors, providing instant alerts and video analytics tailored to safety needs.

AI Bot Eye is an AI-based security system that seamlessly integrates with existing CCTV systems to deliver intelligent insights. From AI-powered Fire Detection to Real-Time Intrusion Alerts, AI Bot Eye elevates security systems with cutting-edge AI technology. The application offers features such as Intrusion Detection, Face Recognition, Fire and Smoke Detection, Speed Cam Mode, Safety Kit Detection, HeatMaps Insights, Foot Traffic Analysis, and Numberplate recognition. AI Bot Eye provides advantages like real-time alerts, enhanced security, efficient traffic monitoring, worker compliance monitoring, and optimized operational efficiency. However, the application has disadvantages such as potential false alarms, initial setup complexity, and dependency on existing CCTV infrastructure. The FAQ section addresses common queries about the application, including integration, customization, and compatibility. AI Bot Eye is suitable for jobs such as security guard, surveillance analyst, system integrator, security consultant, and safety officer. The AI keywords associated with the application include AI-based security system, CCTV integration, intrusion detection, and video analytics. Users can utilize AI Bot Eye for tasks like monitor intrusion, analyze foot traffic, detect fire, recognize faces, and manage vehicle entry.

CARCO is an advanced Mobile AI Fraud Prevention application designed to protect insurance carriers and consumers by identifying and preventing risk events and fraudulent activities. The application streamlines the inspection process through integrated AI and fraud alert validation technology, providing a back-office solution that is easily integrated into mobile platforms, cost-effective, and fraud-detecting. CARCO also offers NMVTIS, a premier system in the U.S. that requires reporting of vehicle title data. With over 50 million transactions completed to date, CARCO has a proven track record in fraud prevention and risk mitigation for the insurance industry.

Rekor is an AI-powered platform that delivers revolutionary roadway intelligence by collecting, connecting, and organizing mobility data. It offers a range of software platforms, hardware systems, and applications for urban mobility, transportation management, and public safety. Rekor's technology utilizes computer vision, edge processing, and predictive algorithms to transform data into actionable intelligence, benefiting communities and businesses on a daily basis. With a focus on security standards and data governance, Rekor provides comprehensive traffic and vehicle analytics, license plate recognition, and compliance automation solutions.

Harvy is an AI-driven automation tool designed to streamline work diary data entry and compliance reporting for heavy vehicle operators. By automating tedious tasks and providing real-time insights, Harvy helps reduce human error, improve compliance, and save time and costs. The platform offers features such as automated data entry, breach detection, compliance reporting, and quick access to historical work sheets. With a user-friendly interface and proactive fatigue management, Harvy empowers teams to focus on safety, efficiency, and growth.

Nauto is an AI-powered fleet management software that helps businesses improve driver safety and reduce collisions. It uses a dual-facing camera and external sensors to detect distracted and drowsy driving, as well as in-cabin and external risks. Nauto's predictive AI algorithms can assess, predict, and alert drivers of imminent risks to avoid collisions. It also provides real-time alerts to end distracted and drowsy driving, and self-guided coaching videos to help drivers improve their behavior. Nauto's claims management feature can quickly and reliably process and resolve claims, resulting in millions of dollars saved. Overall, Nauto is a comprehensive driver and vehicle safety platform that can help businesses reduce risk, improve safety, and save money.

Copilot is an AI-powered bike light and camera designed to enhance safety for cyclists. It constantly monitors the road behind the cyclist using artificial intelligence to detect vehicles approaching or overtaking. The device provides audible and visual alerts to the cyclist, helping prevent accidents. Copilot aims to improve situational awareness and make cycling safer in urban environments.

Kami Home is an AI-powered security application that provides effortless safety and security for homes. It offers smart alerts, secure cloud video storage, and a Pro Security Alarm system with 24/7 emergency response. The application uses AI-vision to detect humans, vehicles, and animals, ensuring that users receive custom alerts for relevant activities. With features like Fall Detect for seniors living at home, Kami Home aims to protect families and provide peace of mind through advanced technology.

BasedLabs is a website that provides a directory of AI tools and products. It allows users to search for AI tools based on their use case and provides detailed descriptions, ratings, and reviews of each tool. BasedLabs also offers a community forum where users can discuss AI tools and share their experiences.

ZeroGPT is a trusted AI detector tool that specializes in detecting AI-generated content like ChatGPT, GPT4, and Gemini. It offers advanced features such as AI summarization, paraphrasing, grammar and spell checking, translation, word counting, and citation generation. The tool is designed to provide highly accurate results and supports multiple languages. ZeroGPT stands out for its highlighted sentences feature, batch file upload capability, high accuracy model, and automatically generated reports. It utilizes DeepAnalyse™ Technology, a multi-stage methodology that optimizes accuracy while minimizing false positives and negatives. Users can unlock premium features and API access to enhance their writing skills and integrate the tool on a large scale.

AI or Not is an AI-powered tool that helps businesses and individuals detect AI-generated images and audio. It uses advanced machine learning algorithms to analyze content and determine the likelihood of AI manipulation. With AI or Not, users can protect themselves from fraud, misinformation, and other malicious activities involving AI-generated content.

The GPT-2 Output Detector is an online tool that helps users identify whether a given text was generated by the GPT-2 language model. The tool is based on the RoBERTa implementation of Transformers, a popular natural language processing library. Users can enter text into the text box, and the tool will predict the probability that the text was generated by GPT-2. The results start to get reliable after around 50 tokens.

GRAIL is a healthcare company innovating to solve medicine’s most important challenges. Our team of leading scientists, engineers and clinicians are on an urgent mission to detect cancer early, when it is more treatable and potentially curable. GRAIL's Galleri® test is a first-of-its-kind multi-cancer early detection (MCED) test that can detect a signal shared by more than 50 cancer types and predict the tissue type or organ associated with the signal to help healthcare providers determine next steps.

AIDetect is a powerful AI content detector tool that allows users to identify AI-generated writing within any text. It offers cutting-edge features and high accuracy, comparable to Turnitin, to help users verify the authenticity of content. With advanced technology, AIDetect ensures that users can distinguish between human and AI-generated content effortlessly.

AI Detector is an online tool that uses advanced algorithms and machine learning to check if your written text is generated by AI or a human writer. It analyzes the writing style, sentence structure, and other linguistic patterns to determine the likelihood of AI authorship. The tool provides a percentage score indicating the probability of AI-generated content, helping users identify potential plagiarism or AI-assisted writing.

AIDP is a comprehensive platform that helps you find and remove the fingerprints of AI in documents. It includes automatic and manual tools for revising content that was written by ChatGPT and other AI models. With AIDP, you can: * Detect and wipe the traces of AI instantly. * See what triggers AI detection. * Get suggestions for wording changes and rewrites. * Make AI sound human. * Get a tone analysis to determine how your document sounds. * Find and wipe AI from any document.

BladeRunner is a browser plug-in that highlights AI-generated text directly on the page. It helps users detect AI-generated content in various contexts such as social media, news, education, e-commerce, and government communications. In the age of AI, where distinguishing between human and AI-generated content is challenging, BladeRunner aims to assist users in identifying AI impostors and maintaining a higher standard of accuracy in digital interactions.

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

The Persian License Plate Recognition (PLPR) system is a state-of-the-art solution designed for detecting and recognizing Persian license plates in images and video streams. Leveraging advanced deep learning models and a user-friendly interface, it ensures reliable performance across different scenarios. The system offers advanced detection using YOLOv5 models, precise recognition of Persian characters, real-time processing capabilities, and a user-friendly GUI. It is well-suited for applications in traffic monitoring, automated vehicle identification, and similar fields. The system's architecture includes modules for resident management, entrance management, and a detailed flowchart explaining the process from system initialization to displaying results in the GUI. Hardware requirements include an Intel Core i5 processor, 8 GB RAM, a dedicated GPU with at least 4 GB VRAM, and an SSD with 20 GB of free space. The system can be installed by cloning the repository and installing required Python packages. Users can customize the video source for processing and run the application to upload and process images or video streams. The system's GUI allows for parameter adjustments to optimize performance, and the Wiki provides in-depth information on the system's architecture and model training.

The collection of pre-trained, state-of-the-art AI models. ailia SDK is a self-contained, cross-platform, high-speed inference SDK for AI. The ailia SDK provides a consistent C++ API across Windows, Mac, Linux, iOS, Android, Jetson, and Raspberry Pi platforms. It also supports Unity (C#), Python, Rust, Flutter(Dart) and JNI for efficient AI implementation. The ailia SDK makes extensive use of the GPU through Vulkan and Metal to enable accelerated computing. # Supported models 323 models as of April 8th, 2024

Construction-Hazard-Detection is an AI-driven tool focused on improving safety at construction sites by utilizing the YOLOv8 model for object detection. The system identifies potential hazards like overhead heavy loads and steel pipes, providing real-time analysis and warnings. Users can configure the system via a YAML file and run it using Docker. The primary dataset used for training is the Construction Site Safety Image Dataset enriched with additional annotations. The system logs are accessible within the Docker container for debugging, and notifications are sent through the LINE messaging API when hazards are detected.

LearnOpenCV is a repository containing code for Computer Vision, Deep learning, and AI research articles shared on the blog LearnOpenCV.com. It serves as a resource for individuals looking to enhance their expertise in AI through various courses offered by OpenCV. The repository includes a wide range of topics such as image inpainting, instance segmentation, robotics, deep learning models, and more, providing practical implementations and code examples for readers to explore and learn from.

A curated list of data science & AI guided projects to start building your portfolio. The repository contains guided projects covering various topics such as large language models, time series analysis, computer vision, natural language processing (NLP), and data science. Each project provides detailed instructions on how to implement specific tasks using different tools and technologies.

Lidar AI Solution is a highly optimized repository for self-driving 3D lidar, providing solutions for sparse convolution, BEVFusion, CenterPoint, OSD, and Conversion. It includes CUDA and TensorRT implementations for various tasks such as 3D sparse convolution, BEVFusion, CenterPoint, PointPillars, V2XFusion, cuOSD, cuPCL, and YUV to RGB conversion. The repository offers easy-to-use solutions, high accuracy, low memory usage, and quantization options for different tasks related to self-driving technology.

LLMWare is a framework for quickly developing LLM-based applications including Retrieval Augmented Generation (RAG) and Multi-Step Orchestration of Agent Workflows. This project provides a comprehensive set of tools that anyone can use - from a beginner to the most sophisticated AI developer - to rapidly build industrial-grade, knowledge-based enterprise LLM applications. Our specific focus is on making it easy to integrate open source small specialized models and connecting enterprise knowledge safely and securely.

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

Awesome OpenVINO is a curated list of AI projects based on the OpenVINO toolkit, offering a rich assortment of projects, libraries, and tutorials covering various topics like model optimization, deployment, and real-world applications across industries. It serves as a valuable resource continuously updated to maximize the potential of OpenVINO in projects, featuring projects like Stable Diffusion web UI, Visioncom, FastSD CPU, OpenVINO AI Plugins for GIMP, and more.

Awesome AI is a curated list of artificial intelligence resources including courses, tools, apps, and open-source projects. It covers a wide range of topics such as machine learning, deep learning, natural language processing, robotics, conversational interfaces, data science, and more. The repository serves as a comprehensive guide for individuals interested in exploring the field of artificial intelligence and its applications across various domains.

MegaDetector is an AI model that identifies animals, people, and vehicles in camera trap images (which also makes it useful for eliminating blank images). This model is trained on several million images from a variety of ecosystems. MegaDetector is just one of many tools that aims to make conservation biologists more efficient with AI. If you want to learn about other ways to use AI to accelerate camera trap workflows, check out our of the field, affectionately titled "Everything I know about machine learning and camera traps".

This repository contains code and configurations for the LLM - Detect AI Generated Text competition. It includes setup instructions for hardware, software, dependencies, and datasets. The training section covers scripts and configurations for training LLM models, DeBERTa ranking models, and an embedding model. Text generation section details fine-tuning LLMs using the CLM objective on the PERSUADE corpus to generate student-like essays.

This tool is designed to detect and classify Alzheimer's Disease using Deep Learning and Machine Learning algorithms on an early basis, which is further optimized using the Crow Search Algorithm (CSA). Alzheimer's is a fatal disease, and early detection is crucial for patients to predetermine their condition and prevent its progression. By analyzing MRI scanned images using Artificial Intelligence technology, this tool can classify patients who may or may not develop AD in the future. The CSA algorithm, combined with ML algorithms, has proven to be the most effective approach for this purpose.

This competition is organized by Javier Rando and Florian Tramèr from the ETH AI Center and SPY Lab at ETH Zurich. The goal of the competition is to create a method that can detect universal backdoors in aligned language models. A universal backdoor is a secret suffix that, when appended to any prompt, enables the model to answer harmful instructions. The competition provides a set of poisoned generation models, a reward model that measures how safe a completion is, and a dataset with prompts to run experiments. Participants are encouraged to use novel methods for red-teaming, automated approaches with low human oversight, and interpretability tools to find the trojans. The best submissions will be offered the chance to present their work at an event during the SaTML 2024 conference and may be invited to co-author a publication summarizing the competition results.

This repository contains a C++ application that demonstrates face recognition capabilities using computer vision techniques. The demo utilizes OpenCV and dlib libraries for efficient face detection and recognition with 3D passive face liveness detection (face anti-spoofing). Key Features: Face detection: The SDK utilizes advanced computer vision techniques to detect faces in images or video frames, enabling a wide range of applications. Face recognition: It can recognize known faces by comparing them with a pre-defined database of individuals. Age estimation: It can estimate the age of detected faces. Gender detection: It can determine the gender of detected faces. Liveness detection: It can detect whether a face is from a live person or a static image.

Detect logical fallacies and lapses in critical thinking to help avoid misinformation in the style of Socrates

AI Detector GPT is powered by Winston AI and created to help identify AI generated content. It is designed to help you detect use of AI Writing Chatbots such as ChatGPT, Claude and Bard and maintain integrity in academia and publishing. Winston AI is the most trusted AI content detector.

I help detect food allergies by analyzing eating habits.

Plagiarism Checker GPT is powered by Winston AI and created to help identify plagiarized content. It is designed to help you detect instances of plagiarism and maintain integrity in academia and publishing. Winston AI is the most trusted AI and Plagiarism Checker.

I find logical fallacies in texts.

AI content analysis expert for detecting AI authorship.

Detects and measures information credibility. Provides a "BS Score" (0-100) based on content analysis for misinformation signs, including factual inaccuracies and sensationalist language. Real-time feedback.

I analyze cognitive biases in scenarios and thoughts, providing neutral, educational insights.

A virtual SOC analyst aiding in incident response.

To assist individuals seeking to learn about or work with Microsoft's Defender for Endpoint. I provide detailed explanations, step-by-step guides, troubleshooting advice, cybersecurity best practices, and demonstrations, all specifically tailored to Microsoft Defender for Endpoint.

Mit KI gegen Kartelle

GPT used to classify prompts as valid inputs or injection attempts. Json output.

Spam expert with comprehensive scam detection and education.

it is a meticulously crafted arsenal of knowledge, insights, and guidelines that is shaped to empower organizations in crafting, enhancing, and refining their cybersecurity defenses

I'm PhishCatcher, an expert in identifying phishing attempts.

A tool to help you decide if a website is part of a PBN or link network, created solely for link building. >> Get in touch with Gareth if you need a Freelance SEO for link building <<

I can guess your emotions! Tell me "Hi"

Expert på att hantera desinformation och misinformation

Multiple Environment Threat Evaluation of Resources (METEOR)™ Space Threats and Operational Risks to Mission (STORM)™ non-profit product AI co-pilot

CSIRT que lidera un equipo especializado en detectar y responder a incidentes de seguridad, maneja la contención y recuperación, organiza entrenamientos y simulacros, elabora reportes para optimizar estrategias de seguridad y coordina con entidades legales cuando es necesario