TECHNOLOGY

In Recosys we can enable a versatile usage of AI & ML techniques, offering both cloud-based and on-premise deployment integrated to StreamShot when needed.

We can adapt to our client’s technical infrastructure and business needs – ensuring fast, intelligent, and scalable document & product recognition.

STREAMSHOT

Revolutionizing Real-Time Document and Product Recognition

StreamShot is fast. Designed for real-time recognition, interpretation, and verification of documents and manufactured products, it excels at speed and efficiency.

StreamShot is universal. It works across mobile, server, and embedded systems, offering a fast, precise and intelligent approach to data extraction directly on the edge device.

StreamShot stands apart with a unique multidirectional video stream approach and unlocks the full potential of any smartphone camera for fast, intelligent digitization.

Fast & Accurate

Uses real-time video processing for high-performance data recognition, classification, and extraction
Minimizes errors through smart verification and redundancy techniques

Smart & Robust

Reliable text, QR/Barcode and layout recognition even under difficult conditions
In-memory data matching corrects OCR errors at both word and phrase levels

Secure & Private

Fully private, 100% on-device. No Internet. No cloud. No data collection.

Seamless & Easy

On-device real-time capture ensures top performance even for inexperienced users through direct feedback loop and user guidance based on the analyzed result
Supports various platforms and formats for integration into third-party applications and a wide range of hardware, such as smartphones, smart cameras, and scanners

Modular & Adaptable

Easy tailoring of cognitive processing solutions from algorithmic and AI modules that enables intelligent combination of functionalities even with 3rd-party components
Customizable for different industries, workflows, languages, and tasks

MACHINE LEARNING

Our system is designed to be adaptable and modular, allowing a natural integration of new AI advancements be easily integrated into the existing framework. We use AI and ML techniques to achieve highly accurate, real-time document and product recognition.

AI & ML Integration

Our platform integrates a robust suite of AI and ML approaches to enhance accuracy, automation, and adaptability:

Neural Networks: for character recognition, pattern detection and document classification.
- Tailored architectures for a given task.
- Transformer-based architectures.
- CNNs & RNNs.
Decision Trees & Forest Models: Used for structured decision-making, anomaly detection, and classification tasks or through ensemble voting mechanisms.
Clustering & Bayesian Methods: Improves accuracy in ambiguous scenarios and optimizes error correction mechanisms.
NLP – Enables text interpretation, classification, and translation, particularly useful after OCR processing and includes usage of LLMs for various tasks:
- Future-proofing the solution.
- Advanced document processing, and understanding.
- Support query analysis.
- Generate automated insights.

CLOUD INTEGRATION

Cloud Integration – Optionally integrate Azure AI & ML Services (flexibility, on-demand scaling, remote accessibility)

Computer Vision API (for OCR & object recognition)
Azure Cognitive Services (for intelligent document processing)
Custom AI Model Hosting via Azure Machine Learning
Secure, scalable cloud storage and analysis
Other Cloud options
Can integrate AWS, Google Cloud, or other third-party APIs for AI enhancement

LOCAL DEPLOYMENT (ON-PREMISE)

Local Deployment (On-Premise) - for clients requiring full data control and security, Recosys supports on-premise AI deployment with minimal constraints, from transformer based models to any tailored to architecture the task requires and client’s hardware capabilities allows. We optimize it together with you ensuring optimal performance based on the available server infrastructure.

Security & Compliance: Suitable for industries with strict data privacy laws (e.g. healthcare, finance)
Offline Processing: Eliminates dependency on internet connectivity, ensuring uninterrupted AI-powered recognition. Since the only limitation is the client’s server capacity, this approach allows maximum flexibility in handling AI model size, computational power, and integration depth

Continuous Optimization

Since everything from architecture to the flow of data will remain under the customer’s control, systems can evolve with the customer’s challenges, enabling periodic adaptation to new technological developments such as new language models and performance improvement by reinforcement learning.