InCloud

Advancing AI-Powered Detection Projects for InCloud

Nation

Japan

Industry

Cloud Service Provider

Categories

AI Solutions

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Key Project Highlights

7+

years

of ongoing engagement length

99.8%

Accuracy

in Digital Display Detection

98%

Accuracy

in Breathalyzer Recognition

Client Overview

InCloud is a Japanese technology company specializing in cloud services. Keeping the vision to make development a painless experience for all clients in mind, InCloud always wants to deliver web or mobile applications, IOT SENSOR SYSTEMS, and CLOUD SERVICES CONSULTING with Japanese-level quality and Western-level technological skills at very cost-effective prices.

Project Overview

InCloud collaborated with Neurond AI to develop three AI-driven detection solutions to enhance real-time monitoring, automation, and accuracy across multiple applications. These projects utilized computer vision, deep learning, and mobile AI to solve critical industry challenges, including digital display recognition, breathalyzer digit tracking, and fall detection for elderly individuals.

1. Athena
2. Breathalyzer Digit Recognition
3. Fall Detection

Challenge

InCloud required an AI-driven system to detect and digitize 7-segment digital displays for enhanced real-time tracking and automation. The solution needed to work in both online and offline environments while maintaining high speed and accuracy.

Solution

  • Developed a computer vision-based detection system applying YOLO and multi-box detection.
  • Optimized screen localization for precise character recognition on digital displays.
  • Achieved a 99.8% accuracy rate with a 5ms detection speed, providing real-time recognition.

Technologies

Computer Vision
Deep Learning
TensorFlow Lite
YOLO
SSD Model
MobileNet
7-Segment Digital Recognition
Convolutional Neural Networks (CNN)
Data Analysis
Real-Time Prediction

The Outcome

Neurond AI’s AI-powered solutions delivered high-precision, real-time monitoring for InCloud’s applications:

  • Improved automation with high-accuracy AI recognition across multiple domains.
  • Enhanced operational efficiency by eliminating manual data tracking and detection errors.
  • Greater safety and responsiveness with instant AI-powered alerts for fall detection and real-time device tracking.
  • Seamless multi-platform integration, enabling desktop, mobile, and IoT compatibility.

Client Feedback

client-feedback-0

“Neurond’s most impressive characteristic is their passion for helping us solve our problems. They truly believe in what we’re trying to achieve. Their members see the value of our work and understand our vision.”

Chris Baek
InCloud’s Chief Executive Officer