Pekat Vision provides AI-driven visual inspection solutions that utilize deep learning algorithms to detect defects and ensure product quality in manufacturing processes. Their technology enables fast integration on embedded devices, allowing manufacturers to identify previously unseen defects without requiring programming expertise.
Funding
$750K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many manufacturers struggle with visual inspection processes, often missing subtle defects that lead to quality issues and increased costs. Traditional machine vision systems require extensive programming and struggle to identify previously unseen anomalies.
Solution
Pekat Vision offers AI-powered visual inspection software that simplifies defect detection and ensures product quality in manufacturing. The software utilizes deep learning algorithms to identify defects, anomalies, and inconsistencies without requiring specialized programming expertise. Its intuitive user interface allows users to quickly train the system on defect-free images, enabling it to detect even previously unseen defects. Pekat Vision's solution can be deployed on embedded devices, facilitating fast integration into existing production lines.
Target Audience
Pekat Vision targets manufacturers across various industries seeking to automate and improve their quality control processes, including those in automotive, pharmaceutical, and electronics.
Features
- Deep learning-based defect detection capable of identifying previously unseen anomalies
- Intuitive user interface for easy setup and training without programming skills
- Predefined output rules to accelerate integration into existing systems
- Ability to run on embedded devices such as Nvidia Jetson Xavier AGX and NX
- Software, smart camera, and vision system product offerings
- Defect detection, completeness check, product sorting, camera-based robot guidance, and text reading applications