Data Processing Applications TRIZ Cases

Detailed vehicle photos help builders assess materials while the app coordinates owners, builders, and tiny-house conversion.

A server controls unauthorized processes, verifies identity, and monitors students by camera during online assessments.

This case replaces manual timetable value entry with graphical dragging to adjust rail vehicle stopping and starting times and locations.

Machine learning uses limited cycling data to predict battery cell remaining life, reducing test time and improving production throughput.

A voice-to-text and language model workflow records defect type, location, and status for faster glove-based inspections.

An infrared sensor and coverable camera limit image capture to detected abnormalities, reducing privacy concerns during remote watching.

Dynamic mission and environmental data drive AI emission forecasts and control data for proactive vessel planning.

This SDK carousel lets third-party apps apply AR image effects while modular processing reduces their computational burden.

Real-time aircraft data guides engine shutdown or restart choices, balancing departure readiness, fuel use, emissions, and part life.

This case combines inverted pressure, 3D boundary elements, and precomputed stress fields for rapid fault-aware inversion.

Real-time collection updates refresh tiles and read states, surfacing new content without relying on static publication intervals.

Machine learning generates and scores personalized training instructions from employee profiles and workspace sensors as conditions change.

An auxiliary wager captures bonus outcomes in online casino games, reducing betting complexity while preserving RTP neutrality.

This case uses probabilistic empirical models to assess editorial omissions, coordination, and subtle bias without sentiment analysis.

Location and load sensors record timber package movements and processing changes, improving lifecycle control and helping reduce spoilage.

A cloud platform combines AI, data-lake analysis, interactive mapping, scoring, and 3D views to screen development sites faster.

Crawling engines gather news across sources and regions, then hybrid models cluster topics and display sentiment comparisons.

The case uses control-command data and AI to classify lifting work, reducing manual chrono-analysis for construction progress.

This case adjusts earlier remote imagery with growth timing and weather data to improve late-season crop status accuracy.

A personalized model identifies likely recipients for one-request group calls and asks for confirmation when confidence is low.

Usage monitoring, alerts, and app suspension are combined with educational tasks that earn extra screen time.

A homopolymer plus unique primer selectively amplifies encoded polynucleotides, reducing sequencing workload for random data access.

Multiple recognition modes identify tracked suspects remotely, helping preserve traffic flow in densely populated areas.

This case combines a mesh conductive circuit, waste collection, and mobile alerts to simplify detection and reduce device cost.

Sensor modules track movement, head height, and head angle, while centralized analysis sends alerts when health deviations emerge.

Embedded RFID stores container UDIs and processing data, preserving traceability through packaging, sterilization, and handling.

TdT enzymatic synthesis combines homopolymer and unique primers for lower-complexity PCR random access to stored polynucleotides.

A handheld scanner queries databases and prepares electronic citations, reducing scene-side data entry while supporting agency data sharing.

A connected OMS, POE, ADM, and eMAR automates medication identification, dispensing, and inventory tracking to reduce delays and errors.

Combine location, motion, and image data to generate relative heatmaps and more comprehensive athlete performance indices.

A baler combines NIR scans, crop temperature sensing, and offset correction for representative bale quality evaluation.

Selectable AR widgets reveal detailed machine models and guidance, improving inspection efficiency and troubleshooting accuracy.

The information processor forecasts elevator congestion and recommends departure times so users can avoid peak waits at the building.

A decentralized sports betting platform supports real-time wagers, shared analytics, and transparent controls to help combat match fixing.

An AI security engine validates suspect content, scores malicious-AI probability, recreates it, and traces its originating source.

A dedicated enterprise DA joins the public safety talkgroup, enabling direct inquiries without lexicon translation delays or errors.

Localized thermal signatures preserve object appearance while remaining detectable through manufacturing process steps.

Real-time game and user data drive ML-generated graphics and templated interactive elements for more relevant sports content.

CNNs classify construction stages from aerial imagery, replacing weather-limited manual surveys.

This case combines encrypted transmission, rules-based analytics, geofencing, and blockchain to protect live betting data integrity.

Real-time event processing applies predefined weights to player actions, producing a transparent index for timely performance assessment.

Terrain data, K-means clustering, and adaptive whale optimization improve grid division, resource use, and network reliability.

The computing system analyzes proposed bets, retrieves historical data, and returns real-time insights to support better decisions.

Connector applications route smart TV fault reports to contact centers and shift the interaction to mobile devices when needed.

Automated artifact transfers make cross-account model deployment faster and more reliable.

This case adapts GNSS re-establishment grace periods to wearer activity, reducing false alerts and monitoring resource use.

This case integrates recipient identities into the media display, reducing separate-panel steps for quicker, more intuitive sharing.

This case uses a multi-floor 3D platform with guided tours and audiovisual exhibits to recreate museum access online.

Location and movement tracking identifies affected areas, directing assistance alerts only to relevant output units.

This case uses hierarchical Smart Distribution Nodes and periodic wake cycles to reduce communication energy, hops, and latency.