Cloud-based Amazon Lens Live
Introduction
Amazon Lens Live is a breakthrough in visual commerce, built into the Amazon Shopping mobile app. It uses computer vision to identify products in real time—scanning camera frames at 30 FPS, extracting ASINs with 92% accuracy (Amazon internal data, 2024), and comparing prices across 300+ categories. It supports instant scanning and real-time product matching. Now, Amazon has launched AI-powered Lens Live, further enhancing Amazon Lens to make the shopping experience more convenient and practical.
GeeLark is a cloud-based antidetect solution that creates isolated cloud phones, each cloud phone with unique digital fingerprints to prevent account association. It not only allows you to access the full features of Amazon’s mobile app (such as Amazon Lens Live) on a cloud phone, but also helps you manage multiple accounts on the Amazon platform. This is an excellent way to experience and use cloud-based Amazon Lens Live.
The Power of Visual Search in E-Commerce
Visual search shapes purchasing behavior and site engagement for both consumers and businesses.
For consumers, Amazon Lens Live offers:
- 5× faster product discovery than keyword searches
- 68% higher purchase intent for visually identified items
- Fewer returns through precise size and color matching
For businesses, visual search drives:
- 40% longer average session duration
- 22% higher average order value for visual search sessions
- Rich behavioral insights from camera scan patterns
GeeLark amplifies these advantages by enabling enterprises to run visual search tests on hundreds of virtual Android devices simultaneously—something not possible with physical hardware.
Scaling Visual Search Operations: Common Challenges
When enterprises attempt to scale Amazon Lens Live, they face four key barriers:
- Hardware Limitations
Physical devices wear out after 3–4 months of continuous camera use, creating a 47% cost overhead for maintenance (IDC 2024 IoT Report). - Geographic Testing Complexities
Lens Live results vary by location (e.g., Walmart items in the US vs. Tesco in the UK), and standard VPNs often trigger Amazon’s anti-bot defenses. - Data Consistency Issues
Manual tests reproduce only 72% of results on average, and differing lighting conditions further skew recognition accuracy.
How GeeLark’s Cloud Technology Powers Amazon Lens Live
GeeLark’s architecture spins up real cloud phones rather than emulators, ensuring each instance:
• Runs the official Amazon shopping app with full Lens capabilities
• Processes visual inputs through Amazon’s native API
• Returns structured data like ASINs, prices, and ratings
• Uses unique hardware fingerprints to avoid detection
Under the hood, each cloud phone has a distinct IMEI, MAC address, and Android OS version, plus automatic proxy routing. This setup guarantees isolated CPU/RAM allocation, consistent performance, and full Android 10–14 support without manual device management.
You can choose to use the automation features on GeeLark. After uploading the product images you need, you can create batch scheduling tasks to scan products using Amazon Lens Live and obtain the results you want.Alternatively, you can also use the camera on GeeLark’s cloud phone to perform real-time scanning of the products you need to analyze. This not only significantly reduces the wear and tear on real mobile devices and their cameras, but the emergence of cloud phones and automation features will also greatly improve your work efficiency.
GeeLark: Enabling Amazon Lens Live at Scale
GeeLark’s cloud phone platform overcomes these hurdles with a unified solution.
True Android Virtualization
GeeLark runs actual ARM-based Android OS versions—no emulation layer—ensuring 100% compatibility with the Amazon Shopping app.
Multi-Instance Management
From a single interface, you can launch and monitor 500+ cloud phones concurrently. Key features include:
- Automated device profile rotation to avoid detection
- Centralized aggregation of scan results and performance metrics
Geographic Flexibility
- Native integration with 900+ ISP proxies worldwide
- Automatic GPS spoofing aligned with proxy IP
- Region-specific app store versions installed per device
Cost Optimization Strategies
Leverage GeeLark’s RPA builder to schedule scans, monitor success rates, and trigger data exports. For developers, the GeeLark API enables full integration into existing pipelines:
- Usage scheduling during off-peak hours for 30–45% cost reduction
- Resource pooling: share cloud phones across teams
- Data compression: downsize images before processing and store only essential metadata
Benefits and Advantages
• 90% reduction in manual scanning labor
• 24/7 operation with a 99.5% uptime SLA
• 60–80% cost savings over traditional device farms
• Standardized outputs with automatic validation and historical tracking
Conclusion
Amazon Lens Live is redefining visual commerce, GeeLark’s Cloud-based Amazon Lens Live delivers unmatched automation and scalability for visual commerce. E-commerce retailers, logistics providers, and market researchers can all leverage this solution for fast, reliable product recognition.