Technology

Vispera Image Recognition Services are built around the most performant and sophisticated image recognition technologies with a focus on solving the problems of the retail market
At the core of our services are proprietary image recognition engines, which are powered by our retail domain knowledge and academic-level expertise in computer vision and deep learning. Our services establish a full-stack solution that can meet and surpass the needs of our FMCG supplier and retailer clients, all the way from image and data collection to reporting, visualizing, aggregating rich sets of retail execution KPIs, and enabling advanced analytics on this Big Data.

Computer Vision and Image Recognition

Vispera Recognition Engines are based on state-of-the-art Convolutional Neural Networks and Recurrent Neural Networks

At the core of our services are proprietary image recognition engines, which are powered by our retail domain knowledge and deep learning. Our services establish a full-stack solution that can meet and surpass the needs of our FMCG supplier and retailer clients, all the way from image and data collection to reporting, visualizing, aggregating rich sets of retail execution KPIs, and enabling advanced analytics on this Big Data.
Superiority in recognition accuracy, repeatability and ability to handle diverse use cases
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Record low image rejection rate
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High tolerance to adverse picture taking conditions
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Fast and easy deployment with few sample images for training
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High accuracy from the start
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96-99%
Fully Developed Vispera Recognition Engine Performance

Reporting and Analytics

Visualise your data for quick, actionable insights
  • Data drilldown powered by ElasticSearch, supporting complex queries with super fast query times
  • Highly customizable tagging architecture for clients master data requirements
  • Value added KPIs from raw data through flexible KPI engine
  • The most flexible planogram compliance checking solution in the market: Reference-based and rule-based controls
  • Planogram and Realogram inspector
  • Visualization of data supported by Highcharts
  • Easy integration with client systems and 3rd party analytics and prediction services through REST API
  • PowerBI framework support for diverse report customization and exports

Data Collection

Rich data collection features via mobile application
Capabilities
  • Highly flexible, customizable data collection tools
  • Mobile app: Android OS & iOS
  • Versatile in-store image and data collection process, highly customizable to diverse retail execution and auditing projects
  • Hybrid system for flexible data collection, supports manual input when constrained scenes or permission issues interfere with photoshoot
  • Online data synchronization, transparent data upload and offline working capability
Speed
  • Typical shelf complete less than 10 seconds with successive photoshoot feature
  • Fast navigation
  • Fast photoshoot
  • Instant image quality feedback
Usability
  • Intuitive UI and navigation for correct data collection
  • Picture grouping into custom display types
  • Guided photoshoot
  • Reduced human errors with built-in checks
  • Augmented reality features for on-device panorama reconstruction
  • On-Device product recognition and OOS detection
Security and Fraud Detection
  • User authentication
  • Geo-fencing
  • Date and time logs

Mobile App Integration

Android and IOS app integration via Intent technology
Our mobile app can be integrated into your existing sales force applications seamlessly via intent technology

Data Integration

Connect your data sources to Vispera
REST API supporting data from external sources, mobile and fixed cameras, robot cameras, depth cameras
REST

Infrastructure

Scalable and adaptable solutions
  • Cloud solution and recognition engines backed by Azure
  • Scaling by Elastic Beanstalk
  • Secure multi-tenant and dedicated private instance options
  • GPU and CPU based inference
  • On site infrastructure solutions thanks to our partnership with partnerships with Intel, Nvidia, HP Inc, Cisco, Dell, Microsoft
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