In computer vision data is so varied and custom specific , which makes it well suited for data driven model.
Knowledge driven models require a knowledge expert, whose solution capability depends on knowledge and the data the expert observes.
The current deployment time is highly limited by software engineering, hardware integration and refinement which requires multi domain expertise.
Size of the data in computer vision is not always well suited for cloud deployment due to latency and bandwidth.
Lack of good AI/ML experienced resources.
Lack of guidance in data collection, interfacing and technologies to choose.
Longer deployment time which takes months.
Lack of real-time inference systems as manufacturing industries require sub second decision making.
Data driven : Deep Learning.
Support for CCTV, industrial and depth cameras.
Edge system for sub second decision making.
Easy integration with PLC's, Robo-controllers, MES and cloud API.
Build on industry leading Nvidia and Microsoft frameworks.
Quick deployment - speeding up proof of concept and development.
Lets us talk on how we can solve your business
problem with computer vision