AI Lighting Scene SolutionOn-App AI

#Pain Point Analysis

In smart lighting scene applications, users (including general consumers, designers, and sales/installation teams) want to quickly create professional, aesthetically pleasing lighting atmospheres adapted to their spaces. However, the current lighting scene creation process presents significant obstacles:

• Cumbersome Operations: Users must complete multiple steps sequentially, including room selection, device filtering, and lamp-by-lamp parameter adjustment, making the process lengthy.
• High Professional Threshold: Users need basic knowledge of color temperature, brightness, dynamic effects, etc., otherwise it's difficult to achieve ideal results.
• Low Efficiency: When facing multi-device batch configuration, manual adjustment is extremely time-consuming, failing to meet rapid delivery or high-frequency creation needs.
• Experience Dependency: Without intelligent recommendations, users can only try by feeling, resulting in high trial-and-error costs.

#Solution

On-App AI Lighting Scenes — Using Tuya's self-developed lightweight spatial lighting scene generation model, professional lighting solutions are generated with one tap locally on the phone (on-device):

• Fully local inference, no internet required, supports offline use

• Millisecond-level response (average < 10ms), achieving "instant fingertip results"

• Zero cloud inference costs, drastically reducing operational expenses

• Batch generation of multiple professional lighting solutions, covering various scene styles such as reception, movie watching, sleeping, party, etc.

💡 Try It Now: Open Smart Life App / Tuya App (v7.1.0 or above), scan the QR code below to preview:

#Technical Advantages

✔ Efficient Inference

• Compatible with mainstream iOS/Android devices:

• Based on TensorFlow Lite deployment, compatible with mainstream iOS/Android devices:

• High-end devices: 5~8ms

• Mid-range devices: 8~12ms

• Low-end devices: 10~15ms (still much faster than human visual perception threshold)

✔ Low Cost

• All inference completed on-device, no token consumption, no GPU server load

• Supports large-scale concurrent user access, marginal cost approaches zero

✔ More Secure

• Fully Local Processing: Lighting parameter generation, core data processing, and calculations are all closed-loop within the device

• Upload Only on Save: Encrypted sync to cloud only after user confirmation, unselected solutions are immediately destroyed

• Compliant with GDPR and domestic privacy regulations

✔ Model Lightweighting and Dynamicity

• Self-developed Lighting Scene Model with pruning + quantization, size < 3MB

• Uses On-Demand Loading + Online Hot Update mechanism:

  • Initial installation package doesn't contain the complete model, saving storage

  • Supports OTA dynamic upgrades, effects can be optimized without releasing new versions

✔ Intelligent Scene Adaptation

• Model can recognize room types (living room/bedroom/dining room), device combinations (light strips/spotlights/ceiling lights), and other contexts

• Automatically generates professional lighting solutions with coordinated styles and distinct layers, such as:

  • Warm Home Mode

  • Focused Work Mode

  • Romantic Dinner Mode

  • Festival Atmosphere Mode (Spring Festival red, Christmas gold, etc.)

#Application Scenarios

#Custom Model Application

If you are interested in training a custom model, visit the On-App AI Custom Model Application Platform to submit your request. The platform supports custom datasets, training and deployment to build tailored AI capabilities for your business scenarios.