Anomalies Detection on Bottle

csdetb-icono

Customer

A company in Japan that manufactures glass bottles for medicines.

Project Details

  • Duration: 3 Months+

Technologies:

  • Deep Learning
  • MongoDB
  • RabbitMq
  • Python
problem-img

Problem

The company produces more than 100k+ bottles every day.

  • They have to QC each bottle manually.
  • Manual QC takes too much time and prone to errors
  • Lot of people needs to be allocated due to high volume.
solution-img

Solution

Deployed a Computer Vision based system with Industrial cameras fitted in a way that captures the bottom view.

  • The Camera captures the photo on the trigger of the sensor. The photo is sent to the processor.
  • The system performs OCR and provides results.
  • The System also cross-verifies the correct sequence by comparing the OCR result with the serial number received from the printer.

100%

Accuracy in false print detection

<1 Sec

time between OCR & real-time alerts

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.

January 27, 2026 - 7 minutes to read

The Hidden Value of Visual Recordkeeping in Logistics and Manufacturing

7:45AM at a busy automotive parts manufacturer. A delivery truck arrived at the dock. Usually, supervisors would take 10 minutes to scan paperwork. They’d also be keying in data. Instead, a camera quietly recorded the container ID, logged upon its arrival. And it tagged the shipment to a specific production line. All without a single […]

Read More

Ruchir Kakkad

CEO & Co-founder

January 26, 2026 - 6 minutes to read

What really changes when Container Movement is Tracked Visually & not Manually

It’s 2:14 PM at a busy CFS gate. A trailer rolls in. The container is old, dusty and sun faded. The number is readable, but only if you look closely. The driver wants to move fast. The queue behind him is growing. The gate operator does what they have always done. Reads the container number. […]

Read More

Ruchir Kakkad

CEO & Co-founder

January 22, 2026 - 6 minutes to read

How AI Vision is transforming Modern Logistics Operations

Modern logistics depend on speed. Accuracy and visibility keep logistics moving. Across container yards and CFS hubs… teams still face blind spots. They rely on manual checks and delayed data. This leads to missed damages and inefficient movement of assets. Logistics teams can see clearly by combining cameras with computer vision. They can understand and […]

Read More

Ruchir Kakkad

CEO & Co-founder

Whatsapp Img