COMPUTER VISION AI
Explore the cutting-edge technology which allows machines to see and guide humans on resolving complex technical issues.
Driving Visual Automation
Our patented technology combines proprietary Deep Learning and advanced Computer Vision AI methods, to recognize devices and their parts and associate them with common issues and resolutions.
HOW DOES IT WORK?
DATA ACQUISITION
We collect and tag visual data of a new device from various sources while minimizing the required volume.
TRAINING
IMPLEMENTATION
INPUT
RESOLUTION
GUIDANCE
The system guides the user with real-time feedback until it verifies that the issue has been resolved.
Maximize value with the industry’s first visual automation solution
DOMAIN EXPERTISE
Our models are created and trained to analyze electronic products, based on your data, to allow the recognition of specific device models and issues to the highest level of accuracy.
UNIQUE ARCHITECTURE
We combine proprietary Deep Learning and Computer Vision algorithms to achieve maximal robustness, speed and accuracy.
UNIQUE DATA ACQUISITION
Data is collected through crowdsourcing of expertise, from synthetic image generation or other any visual data sets.
RAPID ONBOARDING
Training a new device takes a matter of hours with ‘few-shot learning’ methods, reducing the number of required images from tens of thousands to just several.
OPEN INTEGRATIONS
Using APIs, our recognition capabilities can be implemented over the web (with no app download), via native app or integrated into other self-service tools, for real-time or offline image processing.
TAILORED SOLUTION
We train our modules to recognize your exact devices and their specific symptoms, enabling automatic resolution retrieval from your organization’s knowledge base.
CONVERSATIONAL INTERFACE
We provide a customer-facing virtual assistant solution which can interact with users using voice and text commands and provide real- time feedback.
PRIVACY BY DESIGN
Unique visual data anonymization mechanism to ensure maximal privacy.
USE CASES
Self-service flow for rectifying a range of TV issues. The module includes identification of the exact model, as well as recognition of issues according to a combination of features such as disconnected cables, error codes, indication LEDs, and pressed buttons.
Enables contact center agents to support a wide variety of smart devices. The system is trained to recognize product models, parts and statuses during a remote visual assistance session. It instantly retrieves guidance from the knowledge base, shortening time to resolution.
Allows field technicians to show their jobs and receive automated step-by-step guidance. The system identifies the equipment and issue, and pulls a resolution from the FSM knowledge base, directing the technician to the right visual instructions.
Enables technicians to show their work, verifying jobs without the need to contact a remote expert. The module uses image comparison methods to identify a device’s irregular status and compare it with the ideal one, recognizing incorrect configuration or wiring.
Self-service flow for a coffee machine manufacturer, which allows collection of images during the product registration process. The system identifies the exact device model, extracts essential details from the receipt and serial number, and correlates this data with the warranty database.
From Our Knowledge Center
Computer Vision AI: The Secret of Successful Contact Centers
As the capabilities of Computer Vision AI grow, contact centers are finding innovative ways to improve customer service delivery.
Is Computer Vision the Future of the DIY Unboxing Experience?
AI and AR technologies can enhance the DIY unboxing process by delivering a new level of self-service visual customer assistance.
How to reduce call center volume with Computer Vision AI
Leading enterprises have long grappled with the question of how to reduce call center volume. Computer Vision-powered Call Deflection is the answer.
