The emergence of low-cost SWIR image sensors is enabling robust AI-based solutions for machine vision and robotics. Traditional vision systems relying on visible and near-infrared (NIR) sensors face limitations in dynamic environments, struggling with variable lighting, extreme contrast, high dynamic range, and obstructions like dust and mist. These constraints hinder the effectiveness of AI-based object detection and classification. 

Historically, InGaAs-based SWIR EO systems have been prohibitively expensive. The introduction of the TriEye TES200 CMOS-based SWIR image sensor provides cost-effective and compact solutions that advance SWIR-based AI systems for machine vision and robotics.