ITPE implemented a vision-based food detection system that reduced our manual sorting time by 40% and eliminated human error in quality grading.
- ITPE
vision detection


Computer Vision & AI Image Recognition


At ITPE, we bridge the gap between raw video footage and actionable data. Our Vision Detection solutions use state-of-the-art deep learning models to identify, track, and analyze objects in real-time, helping businesses automate quality control, enhance security, and optimize operations.


Our Core Technology: YOLO (You Only Look Once)


We specialize in implementing the YOLO framework (including the latest YOLOv11 and YOLOv10), the industry standard for real-time object detection.


  • Real-Time Speed: Unlike traditional methods, YOLO processes entire images in a single pass, making it fast enough for high-speed production lines and live security feeds.

  • High Accuracy: Precise bounding boxes and classification even in complex, cluttered, or low-light environments.

  • Edge Compatibility: We optimize models to run on lightweight hardware (like Raspberry Pi or NVIDIA Jetson) or powerful cloud servers (AWS/Google Cloud).



What We Can Build for You



1. Industrial Quality Inspection


Automate your QC process to spot defects that the human eye might miss.


  • Defect Detection: Identify cracks, scratches, or missing components on assembly lines.

  • Food Grading: Detect ripeness, size, and quality of agricultural products or packaged meals.

  • Assembly Verification: Ensure every part is in the correct position before shipping.


2. Smart Security & Safety


Transform your existing CCTV into an intelligent monitoring system.


  • PPE Monitoring: Automatically detect if workers are wearing helmets, vests, or masks.

  • Intrusion Detection: Set "No-Entry" zones that trigger instant alerts when a human enters.

  • Crowd Analysis: Count people and monitor social distancing or occupancy levels.


3. Retail & Logistics Intelligence


Gain data-driven insights from your physical space.


  • Inventory Tracking: Detect "Out of Stock" items on shelves in real-time.

  • Automated Sorting: Categorize packages by size, shape, or label without manual scanning.

  • Traffic Heatmaps: See which areas of your store attract the most customer attention.



Our Implementation Process


  1. Data Collection: We help you gather and label high-quality images from your specific environment.

  2. Model Training: We use Python, PyTorch, and OpenCV to train a custom YOLO model tailored to your unique objects.

  3. Integration: We connect the AI model to your existing hardware, mobile apps, or web dashboards.

  4. Optimization: Continuous fine-tuning to ensure the model learns and improves over time.




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