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  • AI Vision Egg Counter for Poultry Farms
  • AI Vision Egg Counter for Poultry Farms

AI Vision Egg Counter for Poultry Farms

For egg farms that need live production counts and separate house records from an existing rod or belt conveyor.

Best fitConveyor egg lines where eggs pass through a clear and stable camera field of view.
Choose byConveyor type and width, speed, egg flow, mounting height, house count and data needs.
Send for reviewLine photos or video, eggs per minute, conveyor dimensions, voltage, language and required interface.
  • AI Vision Egg Counter for Poultry Farms

Description

AI Egg Counting

Vision-Based Egg Counting for Rod and Belt Conveyors

The AICE7501 AI vision egg counter combines camera-based recognition, edge computing, a 10.1-inch touchscreen and IoT communication for poultry farms that need real-time counts and separate records for multiple houses. Installation is reviewed against conveyor type, speed, egg movement and camera coverage.

99.7%reference counting accuracy
0-8 m/minconveyor speed range
20independent house records
10.1 inLCD touchscreen
AICE7501 AI vision egg counter for poultry farm egg conveyors
AI vision egg counter with camera, local display and conveyor mounting structure.

How the AI Egg Counter Works

The counter observes eggs as they pass below the camera, processes the image locally and assigns the count to the selected house record.

1. Camera coverage

The camera is positioned so the full active conveyor width remains visible and eggs pass below without obstruction.

Confirm conveyor width, mounting point and available height.

2. Image recognition

AI vision compares egg image features while edge computing processes the count at the machine.

Keep the camera clean and the view free of debris.

3. Live throughput

The interface displays the selected house count, total count and real-time eggs per minute.

Select the correct house before the counting period starts.

4. House records

Twenty house selections allow current counts and historical records to be kept separately.

Confirm the farm's house naming and record routine.

5. IoT communication

Communication settings include baud rate, address, IP, subnet mask and gateway for project integration.

Confirm the required user endpoint and data interface.

Eggs should avoid rolling as they pass below the counter. Camera position, a clear field of view and cleaning after dust buildup are important to counting performance.

Match the Counter to the Existing Egg Line

Selection point Information to provide Why it matters
Conveyor Rod or belt type, active width, photos and direction of travel Camera coverage and mounting arrangement
Line speed Normal and peak conveyor speed Fit within the 0-8 m/min reference range
Egg flow Eggs per minute, spacing, rolling and overlapping conditions Counting stability and installation review
Farm records Number of houses and required save/clear schedule House setup and operator workflow
Data connection Local-only use or required IoT/network endpoint Communication settings and integration scope
Environment Temperature, dust, washdown and mounting location Protection of the camera and control box

Confirmed Technical Reference

Parameter Reference value
Model AICE7501
Counting method AI vision with edge computing
Reference accuracy 99.7%
Compatible conveyor types Rod conveyors and belt conveyors
Conveyor speed 0-8 m/min
Display 10.1-inch LCD touchscreen
House records 20 independent house selections
Languages Chinese, English and Russian
Communication Built-in IoT communication; project interface to be confirmed
Power supply 220V ±10%, 50/60Hz
Operating temperature 0-50°C
Dimensions 950 x 320 x 380 mm

Counting and Record Functions

Real-Time Count

The overview shows the current selected-house count together with the combined total.

Historical Records

Saved records can be reviewed by house, with separate navigation for houses 1-10 and 11-20.

Automatic Save Timing

The update time can be set for automatic saving and clearing according to the farm's recording routine.

Local System Status

The settings screen displays throughput, CPU/GPU temperature, frame rate, date, time and software version.

Maintenance and Installation Boundaries

  • Mount the camera so all eggs remain visible across the line.
  • Keep debris from blocking the camera field of view.
  • Avoid egg rolling under the camera where the line layout allows.
  • Clean the camera with an anti-static cloth when dust affects counting.
  • Calibrate the counter after camera cleaning or position adjustment.
  • Keep water and steam away from the camera and control box.

Frequently Asked Questions

Can the egg counter work with both rod and belt conveyors?

Yes. The AICE7501 manual identifies rod and belt conveyors as compatible types. Camera mounting and full conveyor coverage still need to be confirmed from photos and dimensions.

Does egg size, color or orientation affect the counter?

The vision system is designed to recognize eggs across normal variations in size, color and orientation. Installation conditions remain important: eggs should stay visible, the camera should be clean and eggs should avoid rolling under the counter.

Can counts be separated by poultry house?

Yes. The interface includes 20 house selections, separate current counts and historical records. Operators select the correct house before counting.

Does this machine grade or sort eggs?

No. This page describes an egg counting system. Egg grading, crack detection, weighing and sorting are separate functions unless a broader line is specifically configured.

What should be sent before quotation?

Send conveyor type, width, speed, egg flow, house count, installation photos, power supply, environment and required data connection.

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Egg-Line Fit Review

Request an AI Vision Egg Counter Quotation

Send conveyor type, width, speed, egg flow, house count, installation photos and required data connection. OVOWELL can review camera coverage, mounting and communication requirements before quotation.