Scent AR - Scent Augmented Reality
Appliances, Electrical, And Electronics Manufacturing
De
6 employees
- Employees
- 6
Scent AR - Scent Augmented Reality Overview
- Headquarters
- De
- Website
- scentar.tech
- Industry
- Appliances, Electrical, And Electronics Manufacturing
- Employees
- 6
- Founded
- 2023
- NAICS
-
Electrical Equipment, Appliance, and Component ManufacturingOther Electrical Equipment and Component ManufacturingBattery Manufacturing
About Scent AR - Scent Augmented Reality
The Scent AR Gadget can deliver over 24 Million fragrance combinations with just six mixable fragrance cartridges. Scent AR AI-powered scent creation algorithm can provide an immersive experience with personalized dynamic scents. - AI/NLP-powered scent synchronization with movies, music, games, and other content - 24 Millions of unique scent combinations - AI for the most realistic fragrance creation - Personalized dynamic scents in real-time - Cross-platform API control integration - High scent update speed - The fragrance design methodology for the mixable balanced combinations considers the human neurophysiology Use case - Games - adding immersive scents to the game scenes and actions Use case - Entertainment - enhancing the movie experiences with immersive scent combinations that highlight the emotional background of each video frame (NLP analyses three streams: video, sound (subtitles), and music to create a fourth stream - a fragrance that is synchronized with three primary streams) Use case - Mental Health - increasing the efficiency of a treatment - new forms of psychotherapeutic exercises Use case - Spatial experiences - blend digital content with the additional scent dimension to enable - extraordinary new experiences - various immersive scents for different activities (work, play, leisure) - unique immersive scents for different work areas (virtual offices) Use case - E-commerce - try perfumes in the virtual store before buying - Get personalized perfume recommendations (increase sales, reduce returns) - Upsale - offering perfume to buy (for example, pants, shirts, or bags), knowing the fragrance preferences profile Use case - Hyper-personalized Social ads - selling fragrance preference profile data to FB, Google, etc, for more precise advertising
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