Computer Vision AI

How does it work?

Device Onboarding

Automated Guidance

Data Acquisition

We collect and tag visual data of a new device from various sources while minimizing the required volume.
Training

We create models to recognize the specific device and its status using Deep Learning and advanced Computer Vision techniques.
Implementation

We integrate recognition capabilities within self-service channels, contact centers or field services platforms.

INPUT

Videos and images are captured by the user (customer, agent or technician)
RESOLUTION

The system recognizes the device type and its issue to provide a resolution from the knowledge base.
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

Product Unboxing

Self-service flow for a new line of routers, enabling customers to install them independently. The module includes recognition of the exact device model, as well as components such as ports, cables, and buttons, along with their exact locations, positions and statuses.

Learn More

Troubleshooting

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.

Learn More

Agent Decision Support

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.

Learn More

Technician
Autonomous Assistance

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.

Learn More

Anomaly Detection

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.

Learn More

Product Registration

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.