Data Processing Applications TRIZ Cases

A switchable mirror and display coordinate transparent, mirror, and mixed modes to balance reflectance, transmittance, and user interaction.

Multi-model vision inference enables real-time PPE compliance checks despite occlusion, class imbalance, and heavy processing demands.

Edge-based 2D-to-3D rendering turns site images into accurate models for real-time plan deviation detection with lower compute and bandwidth.

AI, ML, and NLP automate invention disclosure analysis, prior art review, and patent drafting to cut patent filing time and cost.

Content-similarity matching between table cells helps expose small but important document differences and improves legal table review accuracy.

Group mean and SD settings align QC ranges across analyzers to cut false rejections, retesting, and erroneous patient results.

Keyword-linked chat rooms trigger condition-based content delivery and chatbot formatting, improving access without broad content-pool searches.

Historic satellite images reveal prior crop presence so unsuitable fields can be excluded, reducing contamination and genetic impurities.

Adaptive fault handling uses platform data volume to trigger gas regulation or targeted instructions, speeding gas pipeline fault localization.

AI evaluates patent claims, authorship, novelty, and overlap risks to cut review time while improving compensation and conflict assessment.

Structural causal models separate true influence from confounding and temporal bias, producing more accurate social network user rankings.

Pre-recorded AI videos deliver service details and risks before appointments, cutting consultation time while helping clients decide and schedule.

Mute history and cancellation criteria help limit nuisance comments in shared virtual spaces without blocking normal user interaction.

A GPS-based app links donors and rideshare drivers to deliver care packages quickly to precise homeless recipient locations.

On-board vehicle weight and volume sensing replaces manual stock checks at dispersed storage locations for accurate real-time inventory estimates.

Early log scanning and cutting decisions route timber to CLT or other end uses, reducing waste and raising product value.

Pre-collected participant data lets a central server route accurate, confidential emergency messages to the right services during high-risk events.

Interactive case packages verify real-world health procedure practice to improve behavior adoption, compliance, and user engagement.

Similarity mapping places fragrance icons in n-dimensional space so users can recognize related scents and blend selections more easily.

A wearable RFID reader pairs with in-vehicle readers and reference tags to verify correct asset loading without manual scans or GPS errors.

Real-time visual, auditory, and tactile feedback helps users track wearable sensing state and exercise progress without staring at a small screen.

Wireless tank monitors exchange product data to detect chemical incompatibility automatically, reducing errors from unreadable markings.

Machine-learning models turn construction software usage metrics into project performance predictions and recommendations for timing, budget, and quality.

Combines multi-database personnel records into suitability rankings and natural-language explanations to speed transparent assignment decisions.

Chemical and functional-group mapping reveals reusable product traits, helping turn waste into higher-value resources without complex analysis.

Machine-learning models turn construction software usage metrics into project performance forecasts and targeted improvement recommendations.

Bin packing groups wagers across devices to enable participatory digital game betting while limiting operator loss exposure and preserving settlement accuracy.

Session and time data feed a neural network to predict likely next apps more accurately than simpler recommendation methods.

Sub-region risk mapping and multimodal IoT analysis guide UAV collection to improve debris flow warning speed and downstream safety.

Separate disclosure filters show only permitted projects and related learning content, helping applicants build skills before applying.

Machine learning models quantify mountainous territorial resilience before, during, and after slope disasters to expose weak planning links.

Combines a fine-tuned LLM with multi-source RAG to turn fragmented property, legal, and market data into personalized buyer guidance.

Text-matched emoticon folders narrow large chat sticker sets into relevant choices, improving selection speed and user convenience.

Automated script preprocessing, grouping, and sentence classification turn raw text into structured production data for faster planning and budgeting.

Unsupervised clustering, topic modeling, and LLM reasoning help analyze unstructured data at scale and identify high-risk signals faster.

AI legal reasoning parses claims, searches prior art, and drafts amendments to cut patent examination from years to minutes.

An extendable plate and extrusion mechanism automate in-building delivery to each dwelling while preserving food temperature and handling varied packages.

A portal server routes users across multiple chatbot servers with one access path, cutting repeated authentication, time, and effort.

Distributed production units use reinforcement learning and KPI feedback to route products dynamically without factory redesign or centralized scheduling.

Calibrated pathway activity scoring helps predict immunotherapy response early and flag patients at risk of severe side effects.

Allocates rail schedule padding by section energy characteristics while keeping station times within transfer-friendly change ranges.

BIM views highlight hidden building components and problem areas from real-time and static data, making faults easier to locate and maintain.

Links product identifiers across supply-chain companies to grant precise data access, improving emissions traceability without exposing sensitive information.

Metamodel-driven controller generation exposes manufacturing warehouse data without direct database access, cutting update errors and downtime.

Ultrasonic frequency modulation moves ECG transmission to 18-24 kHz, improving signal-to-noise ratio and smartphone compatibility.

Extracted image elements are rebuilt as layers and rearranged into fixed-ratio comic pages, cutting manual conversion time and effort.

Remote authorization sends a temporary unlock code to responders, enabling fast entry to secure sites without distributing physical keys.

Credential-based locking controls medication access by user and time interval, improving security while keeping dispensing manageable.

A virtual machine renders paywalled pages as images or video, enabling access while blocking user tracking, malware exposure, and SEO interference.

Automatically generated IaC and update scripts keep VPC configurations synchronized across regions for immediate disaster recovery failover.