Price history
Recorded standalone sale prices and the latest available store price, in USD. Historical dots use the sale start date and its recorded offer price. Prices can change during a sale; this is not a daily price log. Bundle prices and upcoming offers are excluded. History covers up to the 100 most recent recorded offers.
Lowest recorded standalone price in this history: $24.50. The latest store price is $49.
View 5 recorded prices
| Sale start / price check | Price | Observation |
|---|---|---|
| $49 | Latest store price | |
| $49 | Unity First Price 2026-08-27 2026-08-27 | |
| $24.50 | Unity New Release Discount 2026-08-27 2026-09-10 | |
| $24.50 | Unity New Release Discount 2026-08-27 2026-09-10 | |
| $24.50 | Unity New Release Discount 2026-08-27 2026-09-10 |
Sale and bundle history
The 4 most recent recorded offers including this asset. Past offers may no longer be available. Bundle prices cover a package, not this asset alone.
About Imperello Vision
Imperello Vision adds live face, pose, hand, and gesture tracking to your Unity project using on-device ML. It runs on the player's device, no cloud and no API keys.
Use it for avatars, UI, fitness games, gesture controls, object-aware gameplay, background effects, stylized portraits, and similar features.
What you can do
Face tracking - follow facial points for avatars or effects
Pose tracking - follow body joints for movement and games
Hand tracking - follow hand points for interaction
Gesture recognition - detect gestures like thumbs up or open palm
Object detection - find objects in the webcam or your own video file
Image classification - label the whole frame (for example everyday objects)
Face bounds detection - lightweight face boxes
Image segmentation - person/selfie mask for background removal and effects
Face stylizer - turn a face capture into a stylized avatar-style look
Holistic landmarker - face, pose, and hands together on one frame
Fitness Trainer sample - pose-based rep counter for Squats, Jumping Jacks etc
Fitness Trainer sample (new in 1.2.0)
Ship a workout-style experience without building pose logic from scratch:
Counts Squats, Jumping Jacks, and Arm Raises from a live webcam
On-screen coach guide, rep goal, timer, and Pause / Resume / Reset / Finish
Full-body tracking check so out-of-frame guesses do not falsely complete
Editable sample scripts you can copy into your own fitness game
Open via Tools → Imperello Vision → Open Fitness Trainer Sample
How to start
1. Import the package into Unity.
2. Open a sample scene (Face, Pose, Hand, or Gesture).
3. Press Play with a webcam connected.
Optional: use Tools → Imperello Vision → Setup Tools to confirm plugins and models are OK, or to open samples from one place.
More help: Documentation/ImportGuide.md
Code examples: Documentation/GettingStarted.md
AI Skills
AI Skills Imperello Vision includes project AI Skills under AI/Skills/ to help you set up and integrate faster with AI agents:
Works with Unity AI Assistant (Unity 6 → Edit → Preferences → AI → Skills)
Compatible with coding agents that read your project (Cursor, Claude, GitHub Copilot, Windsurf, and similar)
Skills cover setup, all ten vision features, and the Fitness Trainer showcase
What's included
Imperello libraries ready to use
Native plugins for Windows and Mac
Model files for all supported vision features
10 editable demo scenes with short in-scene help overlays
Editable demo scenes with short in-scene help overlays
Platforms
Windows - Editor and built games
Mac - Editor and built games
Requirements
Unity 6.0 or newer (tested on 6.3 LTS)
Webcam for live demos
Tested on Windows 64-bit and Mac (Apple Silicon)
You can use this in commercial Unity projects. Open-source parts are licensed under Apache 2.0 and similar terms; see Third-Party Notices.txt in the package.
Use it for avatars, UI, fitness games, gesture controls, object-aware gameplay, background effects, stylized portraits, and similar features.
What you can do
Face tracking - follow facial points for avatars or effects
Pose tracking - follow body joints for movement and games
Hand tracking - follow hand points for interaction
Gesture recognition - detect gestures like thumbs up or open palm
Object detection - find objects in the webcam or your own video file
Image classification - label the whole frame (for example everyday objects)
Face bounds detection - lightweight face boxes
Image segmentation - person/selfie mask for background removal and effects
Face stylizer - turn a face capture into a stylized avatar-style look
Holistic landmarker - face, pose, and hands together on one frame
Fitness Trainer sample - pose-based rep counter for Squats, Jumping Jacks etc
Fitness Trainer sample (new in 1.2.0)
Ship a workout-style experience without building pose logic from scratch:
Counts Squats, Jumping Jacks, and Arm Raises from a live webcam
On-screen coach guide, rep goal, timer, and Pause / Resume / Reset / Finish
Full-body tracking check so out-of-frame guesses do not falsely complete
Editable sample scripts you can copy into your own fitness game
Open via Tools → Imperello Vision → Open Fitness Trainer Sample
How to start
1. Import the package into Unity.
2. Open a sample scene (Face, Pose, Hand, or Gesture).
3. Press Play with a webcam connected.
Optional: use Tools → Imperello Vision → Setup Tools to confirm plugins and models are OK, or to open samples from one place.
More help: Documentation/ImportGuide.md
Code examples: Documentation/GettingStarted.md
AI Skills
AI Skills Imperello Vision includes project AI Skills under AI/Skills/ to help you set up and integrate faster with AI agents:
Works with Unity AI Assistant (Unity 6 → Edit → Preferences → AI → Skills)
Compatible with coding agents that read your project (Cursor, Claude, GitHub Copilot, Windsurf, and similar)
Skills cover setup, all ten vision features, and the Fitness Trainer showcase
What's included
Imperello libraries ready to use
Native plugins for Windows and Mac
Model files for all supported vision features
10 editable demo scenes with short in-scene help overlays
Editable demo scenes with short in-scene help overlays
Platforms
Windows - Editor and built games
Mac - Editor and built games
Requirements
Unity 6.0 or newer (tested on 6.3 LTS)
Webcam for live demos
Tested on Windows 64-bit and Mac (Apple Silicon)
You can use this in commercial Unity projects. Open-source parts are licensed under Apache 2.0 and similar terms; see Third-Party Notices.txt in the package.