Eye-tracking technology, machine vision developer

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Introduction
aSeeStudio2025 in terms of UI, first of allPerformance Optimization, by optimizing the code and using cache reasonably, the software loading speed can be accelerated; secondly,Layout Optimization, maintain a consistent style and layout of interface elements, align elements reasonably, ensuring the interface displays well on different devices (tablets, laptops, or monitors of various sizes); finally,Visual Design Optimization, use concise and intuitive icons, optimize font size and line spacing, and help users quickly understand functions and operations.
▲aSeeStudio 2025 New UI Interface
▲Supports the addition of various media stimuli materials
▲Add Swarm Playback
▲New Eye Movement Data Chart
To significantly improve analysis efficiency, the software integrates a series of practical functions.New support for selfFixedGaze AttentionClassification Function, allowing customization of aggregation conditions such as interpolation, noise reduction, and fixation merging. It also enables modifying aggregation conditions for individual experiments without recalculating the entire project; new multi-type settings for custom markers have been added, allowing specific events to be marked during experiments via key presses, including different types of events such as Instant, Continuous, and On/Off.Custom Tags, accurately recording experimental events. In the data calibration process, utilizingSegmented Offline CalibrationRevise the data and customize the time impact range to ensure data accuracy.
To reduce repetitive work,Support Image Materials AOIsInformation such as the size, location, and time of the designated areaImport/Export, reducing the operational cost of frequently defining AOIs. During the data analysis phase, when performing AOI data statistics, it can be derived fromA Variety of Classic Eye-Tracking MetricsSelect multiple options as needed in China,Merge and Export, improving analysis efficiency. Meanwhile, on the playback timeline of record management,Mouse HoverBy focusing on materials, aggregated attention, or Trigger markers, you can obtain detailed information such as indexes and durations, allowing for quick and convenient identification of key data.

In terms of enhancing compatibility, the software integrates research resources.Support ImportaSeeMobile Phone Tracking AccessoriesMobile Engineering, realizing local one-stop eye movement analysis;Support importing Corestudio project data, making full use of research resources, avoiding repetitive work, and accelerating the scientific research process; alsoCreate Project by Eye Tracker Model, compatible with different devices, making operation more convenient and worry-free. These functions work together to comprehensively integrate research resources from data import, resource utilization to project creation, committed to building a convenient and efficient one-stop research platform for scientific researchers.
7invensun, established in 2009, is a high-tech enterprise dedicated to the field of machine vision and artificial intelligence. It consistently focuses on the research, development, innovation, and application of eye-tracking technology, holding fully independent intellectual property rights.
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