We're exhibiting at EMBEDDED VISION SUMMIT 2025 | MAY 20-22 May, 2025 | Santa Clara, California, USA. Schedule meeting now!

Tofu Counting

csdetb-icono

Customer

One of Japan’s leading Fried tofu manufacturer.

Project Details

  • Duration: 1 Month +

Technologies:

  • Deep Learning
  • OpenCV
  • Python
  • PyQt
  • MongoDb
  • Edge computing device
problem-img

Problem

  • The tofu manufacturer faces challenges in accurately counting the fried tofus going into a single packaging.
  • Manual counting is prone to errors due to fast-moving lines.
  • It also fails to provide real-time insights and statistics on the efficiency of each line. This limits the benefits of real-time production monitoring.

 

solution-img

Solution

We developed a desktop application that detects and counts fried tofu using a segmentation model.

  • The count is updated in real time and displayed on-screen for each package pass.
  • Daily reports can be easily exported and analyzed by improving the workflow of food production automation.
  • The solution is designed for quick integration into existing food packaging automation lines.
  • Built to support food processing automation. It increases speed, accuracy, and operational clarity.
  • Helps with packaging line optimization by identifying trends in discounts or drops in output.

99.56%

Accuracy

< 1s

Detection & Counting Speed

Implementation-Challenges

Implementation Challenges

  • Achieving accurate segmentation and counting on fast-moving tofu pieces.
  • Ensuring consistent results under different lighting and frying conditions.
  • Integrating with existing automated food packaging systems without halting operations.
  • Providing exportable data that aligns with production reports.
  • Designing the UI for non-technical plant operators.
Key-Features

Key Features

  • Real-time tofu detection and counting display.
  • Compatible with high-speed production lines. 
  • Easy daily report export for batch tracking.
  • Seamless integration into food packaging automation environments.
  • Supports operational scalability across multiple lines.
  • Improves overall efficiency in food processing automation.

Insights on innovation

Stay updated with the trending and most impactful tech insights. Check out the expert analyses, real-world applications, and forward-thinking ideas that shape the future of AI Computer Vision and innovation.

June 23, 2025 - 12 minutes to read

How Computer Vision AI is Impacting the Steel Manufacturing Industry in 2025

Overview of Computer Vision AI in Modern Industries Artificial intelligence (AI), especially computer vision-based AI, has become a cornerstone of modern industrial innovation. Computer vision AI refers to algorithms, cameras, and computing hardware that allow machines to interpret visual information and make intelligent decisions. In manufacturing, these industrial AI applications augment or replace manual observation […]

Steel
Read More

Ruchir Kakkad

CEO & Co-founder

June 9, 2025 - 18 minutes to read

2025 ANPR Guide – How License Plate Recognition Is Revolutionizing Modern Operations

Automatic Number Plate Recognition (ANPR) has rapidly evolved from a regular law enforcement tool into a global smart city technology. From managing parking lots in busy downtowns to securing national borders, ANPR systems play an important role in modern infrastructure. Municipal planners, parking tech providers, logistics companies, port managers, and law enforcement professionals all rely […]

Transportation
Read More

Ruchir Kakkad

CEO & Co-founder

June 6, 2025 - 12 minutes to read

How AI and Computer Vision Are Revolutionizing Quality Control in Manufacturing

Artificial Intelligence (AI) and Computer Vision consist of algorithms, cameras, and computing hardware that allow machines to interpret visual information. In manufacturing, these technologies replace or augment human inspection by capturing images or video of products, then analyzing them with deep learning models to detect defects, measure dimensions, or verify assembly. Unlike simple image filters, […]

Manufacturing
Read More

Ruchir Kakkad

CEO & Co-founder