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Computer Vision & Automation ● Vision AI Timeline: 2023 - 2024

Empty Crate Counting System

AI-Powered Crate Inventory Tracking via High-Speed Computer Vision

Client
Dairy Processing & Logistics Plants
Category
Computer Vision & Automation
Our Scope
Full-Stack & AI
Status
Live in Production
Empty Crate Counting System
Empty Crate Counting System — Developed by Ivon Tech Hub Pvt Ltd
99.4%
Counting Accuracy
120+/min
Conveyor Speed Handled
100%
Loss Prevention Audit
60%
Labor Cost Reduction
Project Overview

About the Solution

Empty Crate Counting System is an automated computer vision system that accurately counts empty dairy crates using CCTV cameras and AI algorithms.

The solution eliminates manual counting errors and provides real-time crate inventory visibility — reducing losses and improving operational efficiency across dairy facilities.

The Challenge

Dairy processing plants handle tens of thousands of reusable plastic crates daily as empty crates return from distribution routes to washing and filling lines.

Manual human tallying on fast-moving conveyors and loading docks resulted in frequent miscounts, high shrinkage/theft, disputed distributor balances, and costly conveyor bottlenecks.

Our Technical Solution

Ivon Tech Hub deployed an edge-based computer vision solution utilizing existing or standard industrial CCTV cameras placed over return conveyors and dock bays.

Trained deep learning object tracking models (YOLO + DeepSORT) capable of differentiating crate types, stacked configurations, dirty crates, and bidirectional conveyor motion.

Integrated real-time telemetry streaming counts directly into plant ERP databases with automated anomaly alerts.

Core Advantages

Key Benefits

  • Automated crate counting
  • Real-time inventory updates
  • Camera-based monitoring
  • Reduced manual intervention
  • Loss prevention
  • Historical analytics
Measurable Outcomes

Business Impact

  • Accurate crate tracking
  • Reduced crate losses
  • Lower labor costs
  • Increased operational efficiency
Direct Access

Experience Empty Crate Counting System

Explore live public apps, stores, and demo walkthroughs delivered for this client.

Architecture & Features

Platform Capabilities

★

High-Speed Conveyor Detection

Real-time counting at conveyor speeds exceeding 120 crates per minute with 99.4%+ accuracy.

★

Stack & Layer Disambiguation

Advanced vision algorithms accurately enumerate vertical stacks of nested or collapsed crates.

★

Bidirectional Directional Filtering

Distinguishes between inward incoming returns, conveyor reversals, and outward dispatch flows.

★

Real-Time ERP Sync

Instant synchronization with SAP, Oracle, and custom plant ERPs via lightweight REST and MQTT protocols.

★

Shrinkage & Loss Analytics

Reconciles dispatched crates against returned crates per delivery vehicle to immediately pinpoint shortages.

★

Automated Shift Reports

Generates shift-wise and route-wise summary reports with video clip snapshots for contested counts.

Technologies & Frameworks

Built using industry-standard modern engineering tools for high scalability, real-time response, and enterprise security.

Python YOLOv8 DeepSORT OpenCV FastAPI PostgreSQL RTSP Streams NVIDIA Jetson / Edge AI

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