Search Results for "surface defect detection"

RedAmon is an AI-powered red team framework designed to automate offensive cybersecurity operations from reconnaissance to exploitation and post-exploitation. It combines artificial intelligence with traditional penetration testing tools to create a fully autonomous pipeline capable of discovering vulnerabilities and executing security assessments without human intervention. It begins with a multi-phase reconnaissance engine that maps the entire attack surface of a target, collecting...

...The model learns to detect, segment, and reconstruct detailed 3D mesh representations of objects in natural images, bridging the gap between 2D perception and 3D understanding. Unlike voxel-based or point-based approaches, Mesh R-CNN uses a differentiable mesh representation, allowing it to efficiently refine surface geometry while maintaining high spatial detail. The system combines 2D detection from Mask R-CNN with 3D reasoning modules that output full mesh reconstructions aligned with the input image. It has been evaluated on datasets such as Pix3D, where it demonstrates state-of-the-art performance in reconstructing real-world object geometry.

...Because SSRF often leads to lateral movement or internal network access, SSRFmap is especially useful for red-teamers and pentesters who want to explore chains rather than just the vulnerability surface. The repository also demonstrates a pragmatic mindset; rather than just “find SSRF”, it tries to “exploit SSRF” for impact, helping security testers build full end-to-end workflows.

NanoSurface Analyzer tool is designed for the analysis and measurement of surface data at the nanoscale. This application is developed to support researchers working with surface data by providing tools for reading, processing, and analyzing data.

...PII Blackout is a powerful, local-first desktop application that automates the tedious process of finding and masking Personally Identifiable Information (PII) with military-grade security. Key Features: Smart Auto-Detection & Redaction Manually searching for emails, phone numbers, tax IDs, and names is a thing of the past. PII Blackout automatically scans, detects, and blackouts sensitive data points across your documents in one click. Absolute, Irreversible Security (Image-Level Blackout) Unlike standard PDF editors that merely place a black shape over editable text (which can easily be copied or uncovered), PII Blackout flattens and bakes the redaction directly into the image surface of the document. ...

At present, surface defect equipment based on machine vision has widely replaced artificial visual inspection in various industrial fields, including 3C, automobiles, home appliances, machinery manufacturing, semiconductors and electronics, chemical, pharmaceutical, aerospace, light industry and other industries. Traditional surface defect detection methods based on machine vision often use conventional image processing algorithms or artificially designed features plus classifiers. ...

The Objectron dataset is a collection of short, object-centric video clips, which are accompanied by AR session metadata that includes camera poses, sparse point-clouds and characterization of the planar surfaces in the surrounding environment. In each video, the camera moves around the object, capturing it from different angles. The data also contain manually annotated 3D bounding boxes for each object, which describe the object’s position, orientation, and dimensions. The dataset consists...

VoteNet is a 3D object detection framework for point clouds that combines deep point set networks with a Hough voting mechanism to localize and classify objects in 3D space. It tackles the challenge that object centroids in 3D scenes often don’t lie on any input surface point by having each point “vote” for potential object centers; these votes are then clustered to propose object hypotheses.