Advanced image recognition technology seamlessly integrated into mobile applications
MobileEngine is an advanced image recognition solution that enables businesses to integrate powerful visual identification capabilities directly into mobile applications. By leveraging a customizable reference database containing artwork, packaged goods, book covers, catalog pages, and other visual assets, MobileEngine allows users to instantly identify real-world objects through their device cameras. The platform streamlines product discovery, enhances customer engagement, and enables new revenue streams through frictionless visual commerce. MobileEngine supports rapid deployment across iOS and Android platforms with minimal integration overhead. When deployed through AiDOOS, customers benefit from enhanced governance frameworks, optimized API management, scalable infrastructure provisioning, and integrated DevOps pipelines that accelerate time-to-market. The platform's flexible architecture supports custom model training, enabling businesses to tailor recognition capabilities to their specific product catalogs and use cases.
Customers photograph packaged goods in-store to access product details, reviews, and pricing. Retailers streamline inventory management and enhance point-of-sale workflows.
Users upload or photograph items to find similar products in online catalogs. Enables visual commerce and reduces friction in product discovery journey.
Publishing and media companies enable readers to identify book covers, magazine spreads, and promotional artwork to access digital content and purchase options.
Warehouse and logistics operators use image recognition to automate inventory tracking, SKU identification, and shipment verification across distribution networks.
Museums and galleries provide mobile apps enabling visitors to photograph artworks and instantly access contextual information, exhibition details, and multimedia content.
MobileEngine pricing is customized based on your team size, integrations, and requirements. AiDOOS will get you a scoped proposal — for free.
Instant object identification from camera or uploaded images
Sub-second recognition latency for seamless user experienceTrain models on proprietary product catalogs and assets
99.2% accuracy on domain-specific product categoriesNative iOS and Android SDKs with minimal code requirements
Deploy to production in 2-4 weeks versus 6+ months custom developmentRESTful APIs enabling flexible integration patterns
Support for both on-device and cloud-based recognition modesTrack recognition performance and user behavior patterns
Identify product discovery gaps and optimize catalog coverageCloud-native architecture handling millions of daily recognition requests
Automatic scaling to support 10x traffic spikes without performance degradationAiDOOS-verified review data is collected after deployment. Deploy this product and be among the first to share your experience.
Native Swift SDK for seamless CoreML and Vision framework integration
Kotlin-optimized SDK with TensorFlow Lite support for on-device inference
Cross-platform bridge enabling MobileEngine deployment to React Native applications
Flutter plugin supporting both Android and iOS with unified API surface
Integration with S3 for image storage, Lambda for serverless processing pipelines
Native connectors to Azure Blob Storage and Azure Machine Learning services
Firestore integration for real-time database synchronization and Cloud Functions triggering
E-commerce platform plugins enabling visual product search directly in online stores
AiDOOS handles setup, CRM integration, SSO config, and user provisioning. Your team goes live — not your IT department.
Pre-vetted experts and AI agents in the loop, assembled as a delivery pod. Pay in Delivery Units — universal pricing across roles, seniority, and tech stacks. No hiring, no contracting, no procurement cycle.
Outcome-based delivery via AiDOOS’s VDC model. Why VDC vs traditional consulting? →
Pay for results, not hours
Clear deliverables at each phase
Access to certified specialists