
Welcome to the Future of
Quality Control.
What Our Customers
Say About Inspector?
Since we started using Dataguess Inspector on our toilet paper production line, we have observed an incredible improvement in our quality control processes. Critical processes such as fault detection, fault classification and absence detection are now performed automatically with great accuracy. In this way, we have significantly increased our production efficiency by minimising human errors.
Mehmet Bakmaz
Hayat - Tissue Converting Production Manager
Since we started using the Dataguess Inspector solution developed by Dataguess Technology in a production line where we do machining as a pilot area, we have experienced a great transformation in our production processes. In our company, which produces parts for the white goods and automotive sectors, we had the goal of making our quality control processes autonomous and Dataguess Inspector has been our biggest help in achieving this goal.
Özkan Yılmaz
Mazsan - Chief Technical Officer
Since using the "Dataguess Inspector" solution on our press line, we have experienced a major transformation in our quality control processes.
The training and deployment process of the solution is extremely user-friendly. "Dataguess Inspector" not only saves us time but also takes us one step further in the eyes of our customers.
Ahmet Erdem Öner
Toyotetsu - Project and R&D Manager





Meet the Inspector.
It easily performs operations such as defect detection, defect classification, and absence detection. Inspector is equipped with advanced deep learning algorithms and algorithms that automatically perform the dataflow process.

Inspector is designed to meet the needs of quality control, product sorting, and counting in every production process. It combines advanced Artificial Intelligence and Computer Vision technologies. In this way, it offers an ideal solution for increased productivity in manufacturing. Simplify your operations and achieve excellence with Inspector's user-friendly interface and real-time error detection.
Detection
Object & Defect Detection
Classification
Object & Defect Classification
Counting
Object & Defect Counting
START PERFORMING QUALITY CONTROL WITH COMPUTER VISION IN 4 EASY STEPS.
USER INTERFACE
EVERYTHING YOU NEED
All the Essential Tools for Computer Vision Projects in Inspector.
Dashboard
Manage all your quality control processes from a user-friendly dashboard. Optimize operations with real-time data tracking and analytics.
Built-in IoT Device Connectors
It can communicate with devices that use Siemens S7, Modbus TCP, and MQTT protocols.
Image & Video Acquisition
Capture high-quality images and videos, and analyze real-time data from the production line. Detect defects and improve your processes.
Labeling Tool
Quickly and efficiently label images with the user-friendly labeling tool, accelerating the training of AI models.
Training & Testing Tool
Train and test your AI models with real data. Develop high-accuracy, reliable AI solutions.
Deployment Tool
Deploy trained models quickly and easily. Transfer AI models to your production environment with a single click and start using them immediately.

1- UPLOAD MEDIA
Start your quality control process by uploading image or video files to the system. Analyze the uploaded media to remove unnecessary visual frames and create high-quality datasets.

2- LABEL IMAGES
Label objects or errors to be captured in your uploaded media files. Easily label and annotate your images using the user-friendly labeling tool and move on to the training phase of your model.

3- TRAIN THE AI MODEL
Train and test your AI model with the labeled data. Using real data in the training and testing processes ensures the development of highly accurate and reliable AI solutions.

4- DEPLOY THE PROJECT
Quickly and easily deploy your AI project on your AI computer. Launch your project and optimize your quality control processes.

Feature | Standard | Pro | Advanced |
---|---|---|---|
AI Model Concurrent Execution Limit | 1 | Up to 4 | Up to 10 |
AI Performance | 40 TOPS | 100 TOPS | 200 TOPS |
Integrated Hardware Module | NVIDIA JETSON ORIN NANO 8GB | NVIDIA JETSON ORIN NX 16 GB | NVIDIA JETSON ORIN AGX 32GB |
GPU | 1024-core NVIDIA Ampere architecture GPU with 32 tensor cores | 1024-core NVIDIA Ampere architecture GPU with 32 tensor cores | 512-core NVIDIA Volta™ GPU with 64 Tensor Cores |
Max GPU Freq. | 625MHz | 918MHz | 918MHz |
CPU | 6-core Arm Cortex-A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB L3 | 8-core Arm® Cortex®-A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3 | 8-core NVIDIA Carmel Arm®v8.2 64-bit CPU 8MB L2 + 4MB L3 |
CPU Max Freq. | 1.5 GHz | 2 GHz | 2 GHz |
DL Accelerator | 2x NVDLA v1 | 2x NVDLA v1 | 2x NVDLA v1 |
Vision Accelerator | 2x PVA v1 | 2x PVA v1 | 2x PVA v1 |
Memory | 8GB 128-bit LPDDR5 68GB/s | 16GB 128-bit LPDDR5 102.4GB/s | 32 GB 256-bit LPDDR4x 136.5GB/s |
Storage | 2x M.2 Key-M 250GB SSD | 2x M.2 Key-M 250GB SSD | 2x M.2 Key-M 250GB SSD |
Video Encode | 1080p30 supported by 1-2 CPU cores | 1x 4K60 | 3x 4K30 | 6x 1080p60 | 12x 1080p30 (H.265) H.264, AV1 | 4x 4K60 | 8x 4K30 | 16x 1080p60 | 32x 1080p30 (H.265) | 4x 4K60 | 8x 4K30 | 14x 1080p60 | 30x 1080p30 (H.264) |
Video Decode | 1 x 4K60 (H.265) | 2 x 4K30 (H.265) | 5 x 1080p60 (H.265) | 11 x 1080p30 (H.265) | 1x 8K30 | 2x 4K60 | 4x 4K30 | 9x 1080p60 | 18x 1080p30 (H.265) H.264, VP9, AV1 | 2x 8K30 | 6x 4K60 | 12x 4K30 | 26x 1080p60 | 52x 1080p30 (H.265) | 4x 4K60 | 8x 4K30 | 16x 1080p60 | 32x 1080p30 (H.264) |
PCIe | 1 x4 + 3 x1 (PCIe Gen3, Root Port and Endpoint) | 3 x1 + 1 x4 PCIe Gen 4 | 1 x8 + 1 x4 + 1 x2 + 2 x1 (PCIe Gen4, Root Port & Endpoint) |
USB | 3x USB 3.2 Gen2 (10Gbps) | 3x USB 2.0 | 3x USB 3.2 Gen2 | 3x USB 3.1 | 4x USB 2.0 |
Networking | 1x GbE | 1x GbE | 1x GbE |
Display | 1x 4K30 multi-mode DP 1.2 (+MST) | eDP 1.4 | HDMI 1.4 | 1x 8K30 multi-mode DP 1.4a (+MST) | eDP 1.4a | HDMI 2.1 | 1x 8K30 multi-mode DP 1.4a (+MST) | eDP 1.4a | HDMI 2.1 |
Power | 7W - 15W | 10W - 25W | 15W - 30W |
Operating Temp. | -10 °C / 60 °C | -10 °C / 60 °C | -10 °C / 60 °C |
Dimensions | 110 mm x 130 mm x 60 mm | 110 mm x 130 mm x 60 mm | 160 mm x 110 mm x 95 mm |
Weight | 760 g | 760 g | 1340 g |
FEATURES & DETAILS
ARTIFICIAL INSPECTOR
Easy Image Acquisition
Import images from cameras or upload existing images to Inspector with a single click to train AI models.
Just Label It
Quickly label images and create datasets with the labeling tool.
Pre-Optimised Settings
Train and test dozens of different AI models.
Deploy to Edge or Cloud
Install your trained AI models on any industrial Edge AI computer or in the cloud.
Integrate with OT&IT Systems
Inspector can be connected to OT systems such as IoT devices, PLC, remote IO, etc., and integrated with IT systems such as ERP, EMS, QMS, etc.

Package Contents
Check out and compare the details of all-in-one packages in the table below.
Dataguess
Inspector License

Industrial Edge AI
Computer

Industrial AI Camera
with Depth Sensor
Inspector's
All-In-One Packages
Lifetime license models and subscription-based license models are available. Please get in touch with the sales department for further details.


