THE POSSIBILITIES, MADE PRACTICAL
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THE USE CASE LIBRARY
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536 use cases to explore
IDEAS FOR YOUR NEXT CHAPTERDetect oil spills
AI analyzes images of the production area and identifies signs of oil spills near wells. Helps monitor areas where environmental and operational controls are required. The result is the discovery of suspicious areas for inspection and response, without a guarantee of preventing all possible leaks.
Explore the metadata
- AI capability
- Anomaly detection · Perception & recognition
- Input data
- Images · Video
- Output
- Alert
Identify dangerous behavior on the roads
AI analyzes video of transport objects and recognizes specified violations of road rules and access regimes. May detect jaywalking, movement in prohibited directions, and violations when using personal mobility aids. The result is events for verification by responsible services.
Explore the metadata
- AI capability
- Anomaly detection · Perception & recognition
- Input data
- Video
- Output
- Alert
Identify hazardous activities in the workplace
AI analyzes video of the work site, recognizes people, equipment and situations related to violations of safety requirements. Highlights dangerous behavior, presence in prohibited areas and other specified events. The result is signals for responsible employees who need to check the situation and organize a response.
Explore the metadata
- AI capability
- Anomaly detection · Perception & recognition
- Input data
- Video
- Output
- Alert
Identify dangerous instructions in input texts
The AI checks input texts for attempts to embed instructions that could change the intended behavior of the language system. Highlights suspicious requests for blocking or additional scanning. The result is an evaluation of the input message used to protect the workflow from prompt injections.
Explore the metadata
- AI capability
- Anomaly detection
- Input data
- Text & messages
- Output
- Assessment or feedback · Alert
Identify dangerous events in public places
AI analyzes video streams of public spaces and identifies specified threats or violations. Depending on the task, it detects conflicts, dangerous crowds, weapons or fire. The result is signals and recorded events for verification, and, with appropriate settings, the launch of a voice warning.
Explore the metadata
- AI capability
- Anomaly detection · Perception & recognition
- Input data
- Video
- Output
- Alert
Detect deviations in equipment operation
AI monitors equipment condition and technological indicators, identifying unusual changes and signs of possible malfunctions. If measurements are available, it analyzes vibration, temperature and pressure, and identifies problems for specialists. The result is alerts and diagnostic assessments for equipment inspection and maintenance preparation.
Explore the metadata
- AI capability
- Anomaly detection · Optimization & planning
- Input data
- Equipment & sensor data
- Output
- Alert · Assessment or feedback
Detect deviations in patient parameters
AI analyzes medical indicators coming from devices and evaluates their changes over time. If any deviations are detected, the doctor is notified. The result is alerts about patients requiring attention to support remote monitoring; medical interpretation and decisions about assistance remain with the specialist.
Explore the metadata
- AI capability
- Anomaly detection · Reasoning & analysis
- Input data
- Equipment & sensor data
- Output
- Alert · Assessment or feedback
Identify deviations in room attendance
AI compares expected and actual traffic in office areas. In the event of an unusual discrepancy, it creates a signal about the need for an unscheduled inspection. The result is a task for the operations team to check the premises or the conditions of its use without manually comparing all the traffic indicators.
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- AI capability
- Anomaly detection · Workflow execution
- Input data
- Structured & accounting data
- Output
- Alert
Detect queues at bus stops
AI analyzes video of stops and detects clusters of waiting passengers. Transmits a signal to the transportation control center to consider the need for additional or larger vehicles. The result is a notification of transport needs; The decision to release the vehicle is made by the carrier.
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- AI capability
- Perception & recognition
- Input data
- Video
- Output
- Alert
Detect damage to conveyors
AI continuously analyzes images of the conveyor system and detects belt damage or worn elements. Determines the location of defects and, if there are consistent observations, tracks their changes. The result is signals and information for equipment inspection and maintenance.
Explore the metadata
- AI capability
- Anomaly detection · Perception & recognition
- Input data
- Video · Images
- Output
- Alert · Assessment or feedback
Identify damage to bridges and roads
AI analyzes aerial photographs of bridges and road surfaces, highlighting cracks, deformations and signs of corrosion. The result is marked areas for technical inspection and survey preparation. Automatic assessment helps direct the attention of specialists, but does not replace an engineering opinion on the condition of the structure.
Explore the metadata
- AI capability
- Anomaly detection · Perception & recognition
- Input data
- Images
- Output
- Assessment or feedback · Alert
Detect identity spoofing in video calls
The AI checks the video stream of the call participant for signs of identity spoofing and artificially altered images. The analysis is performed during video communication. The result is an assessment of suspicious video data, which can be used to further check the interlocutor; the absence of a signal does not guarantee the authenticity of the image.
Explore the metadata
- AI capability
- Anomaly detection · Perception & recognition
- Input data
- Video
- Output
- Assessment or feedback · Alert
These are potential applications, not implementation results. Industry categories are a starting point; suitability depends on your process, data and constraints.
FROM POSSIBILITY TO PRACTICE