Commercial Automation & Vision

AI Fruit Sorting Conveyor for Automated Apple Quality Inspection

Elexnova delivers an industrial end-to-end fruit inspection solution that synchronizes high-speed conveyor actuation, optical sensing chambers, dual-stage AI classification, and microcontroller reject logic.

AI fruit sorting conveyor built by Elexnova
OPTICAL INSPECTION ACTIVE
YOLOX + ResNet18
End-to-end mechatronics assembly: conveyor belt, trigger sensors, camera rig, and reject gate.
AI Model Stack

YOLOX + ResNet18

Detect & defect classify
Line Controller

Serial MCU / Arduino

Low-latency trigger sync
Classification

Good vs. Defective

Multi-grade support
Tracking Logic

Anti-Duplicate

Single count per item
How The System Works

4-Stage Synchronized Inspection Workflow

From sensor entry to mechanical sorting, every microsecond is timed to ensure flawless product separation.

STEP 01

1. Sensor Detection

An optical proximity sensor identifies when an apple reaches the inspection zone and commands the conveyor sequence.

STEP 02

2. Optical Capture

The camera captures high-resolution imagery under controlled lighting to eliminate glare and shadows.

STEP 03

3. AI Classification

YOLOX isolates the fruit and ResNet18 classifies surface defects, rot, blemishes, and grading metrics in real time.

STEP 04

4. Microcontroller Action

The classification result triggers an Arduino-controlled diverter gate or pneumatic solenoid for automated sorting.

Core Capabilities

Commercial Hardware & Intelligence Capabilities

Turnkey engineering encompassing mechanical conveyance, camera rig enclosures, embedded logic, and deep learning.

Conveyor-Belt Design & Integration

Custom fabrication of motorized conveyor chassis, variable-speed motor drives, guide rails, and food-safe belts.

Camera & Sensor-Zone Setup

Calibrated industrial optics, shadow-free uniform illumination, and photoelectric triggers for precise optical timing.

Apple Detection & AI Quality Classification

Deep convolutional neural network trained on thousands of samples to differentiate surface scabs, rot, and prime grades.

Microcontroller & Hardware Control

Low-latency firmware handling motor start/stop cycles, sensor interrupts, reject solenoid actuation, and serial telemetry.

Anti-Duplicate Object Tracking

Algorithmic tracking preventing identical fruit from duplicate classification during conveyor micro-vibrations or pauses.

End-to-End Assembly & Commissioning

Full validation covering mechanical alignment, electrical schematics, software integration, and batch throughput testing.

Industrial Applications

Where Machine Vision Sorting Adds Value

Customizable for fruit packaging lines, agricultural aggregators, packhouses, and food processing lines.

Packhouses

Apple Packhouse Automation

Automated high-throughput sorting of incoming harvest into premium, commercial, and juice/process grades.

Processing

Food Processing & Canning

Inline visual reject of bruised or decaying fruit before entering peeling, slicing, or puree processing lines.

Multiple Produce

Custom Produce Adaptation

Models, cameras, and mechanical chutes can be tailored for citrus, tomatoes, avocados, and stone fruits.

Demonstration

R&D & Automation Testbeds

Compact laboratory and demonstration conveyors for universities, mechatronics R&D, and robotics testing.

Deep Learning & Mechatronics

AI Inspection and Conveyor Control

The commercial system combines machine vision with line control. A YOLOX detection stage locates an apple in the camera frame, after which a ResNet18 classifier evaluates the isolated fruit as good or defective. Object tracking prevents the same apple from being repeatedly processed while it remains visible on the conveyor.

The controller interface is designed to send the classification result to the automation hardware. In the implemented configuration, the control output uses a serial connection to an Arduino-compatible controller, allowing the mechanical workflow to respond to the inspection result. Camera position, sensor zone, conveyor sequence, classification model, and reject mechanism can be configured for the required fruit and line layout.

Dual-stage YOLOX + ResNet18
Serial microcontroller interface
Pneumatic / motor reject gates
Anti-duplicate item tracker

Commercial Configuration Options

Inspection Configuration

Fruit type, acceptable-defect criteria, camera placement, lighting, conveyor size, and inspection sequence can be specified for the production workflow.

Automation Integration

Elexnova can scope the sensor, controller, actuator, data display, and reporting requirements for a complete automated inspection system.

Frequently Asked Questions

Commercial Solution Details & Adaptation

Is this available as a commercial automation solution?

Yes. Elexnova handles the conveyor fabrication, optical sensors, camera enclosure, microcontroller programming, AI classification pipeline, integration, and on-site testing as a turnkey commercial solution.

Can the system be adapted for another fruit or product?

Yes. A custom solution can be configured with a tailored camera rig, custom-trained classification model, sensor arrangement, conveyor geometry, and sorting actuator for items like citrus, tomatoes, avocados, and packaged goods.

Turnkey Vision & Conveyance

Ready to Automate Quality Inspection on Your Production Line?

Talk to Elexnova engineers to scope conveyor dimensions, sorting speed, AI detection classes, and factory integration.