AI Models
Explore our advanced AI models designed for accurate predictions, quality assessments, and disease identification across various applications.

Number of Models found:
15

NA
Vision
Object Detection and Image Segmentation
Custom
3D Radar/Lidar Labelling and Annotation
WG Tech offers services for labeling and annotating 3D radar and LiDAR data, customized to your preferred tools.
Application:
Automotive
AI Model :
Licensed Tool
Release:
Released
Version:
NA

Tensorflow
Audio
Audio Classification
CNN
Action Command Detection
The model identifies action commands through audio classification using TensorFlow enabling LED indications based on detected sounds.
Application:
Industrial and Automotive
AI Model :
Custom
Release:
Alpha
Version:
v 1.1

PyTorch
Vision
Object Detection
Yolov11
Bottle Cap Fit Analysis
The model analyzes Bottles Cap fits to detect quality defects, providing insights for better Quality and ensuring premium product standards.
Application:
Industrial
AI Model :
Licensed Tool
Release:
Alpha
Version:
v 1.0

PyTorch
Vision
Object Detection
Yolov11
Coffee Beans Analysis
The model analyzes Coffee Beans to detect quality defects, providing insights for better Quality and ensuring premium product standards.
Application:
Industrial
AI Model :
Licensed Tool
Release:
Alpha
Version:
v 1.1

PyTorch
Vision
Object Detection
Yolov8
Egg Analysis
The model analyzes eggs to detect quality defects, providing insights for better grading and ensuring premium product standards.
Application:
Industrial
AI Model :
Licensed Tool
Release:
Alpha
Version:
v 1.2

Custom
Radar
Image Segmentation
RNN
Gesture Detection
The model uses radar input for image segmentation with Custom AI Model, detects gestures enabling LED indications or customizable actions.
Application:
Industrial and Automotive
AI Model :
Custom
Release:
Beta
Version:
v 1.5

Custom
Radar
Time Series
RNN
Heart Rate Sensing
The model uses radar input to monitor heart beat.
Application:
Medical and Automotive
AI Model :
Custom
Release:
Beta
Version:
v 1.5

PyTorch
Vision
Pose Estimation
CNN
Human Pose Estimation
The model predicts different classes of human poses for workplace productivity improvement.
Application:
Industrial and Medical
AI Model :
Licensed Tool
Release:
Alpha
Version:
v1.0

Custom
Radar
Image Segmentation
RNN
Human Presence Detection
The model uses radar input for image segmentation with Custom AI Model, detecting Human presence enabling LED indications or customizable actions.
Application:
Industrial and Automotive
AI Model :
Custom
Release:
Beta
Version:
v 1.5

Tensorflow
Vibration
Time Series
CNN
Machine Fault Detection
The model identifies faults in specific machines using vibration time series data on a Raspberry Pi 5, enabling timely detection and classification of fault types.
Application:
Industrial
AI Model :
Custom
Release:
Alpha
Version:
v 0.5

Custom
Radar
Image Segmentation
RNN
Room Occupancy
The model uses radar input to monitor room occupancy by detecting IN and OUT movement.
Application:
Industrial and Automotive
AI Model :
Custom
Release:
Beta
Version:
v 1.5

Custom
Radar
Image Segmentation
RNN
Segmentation and Tracking using radar sensor
The model uses radar input for image segmentation using custom AI Models built on Embedded C to track people in a certain range.
Application:
Industrial and Automotive
AI Model :
Custom
Release:
Beta
Version:
v 1.5

PyTorch
Vision
Object Detection
Yolov8
Coconut Harvesting Prediction
The model accurately predicts the optimal time for harvesting coconuts, maximizing quality and ensuring the best market value.
Application:
Agriculture
AI Model :
Licensed Tool
Release:
Alpha
Version:
v 1.4

TensorFlow
Vision
Image Classification
CNN
Corn Diseases Identification
The model identifies various corn diseases, enabling timely interventions to prevent crop loss and maintain high productivity.
Application:
Agriculture
AI Model :
Custom
Release:
Alpha
Version:
v 1.4

PyTorch
Vision
Object Detection
Yolov8
Corn Harvesting Prediction
The model predicts the best time to harvest corn, ensuring optimal quality and reducing post-harvest losses for farmers.
Application:
Agriculture
AI Model :
Licensed Tool
Release:
Alpha
Version:
v 1.4