GOALS

• Identify and evaluate new and innovative vision-based solutions to enhance their company's automation product offerings
• Develop a compelling value proposition and go-to-market strategy for incorporating DreamVu's technology into their existing product lines
• Stay ahead of the competition by integrating the latest advancements in 3D vision and robotics into their product roadmap

Frustrations

• Struggling to find cost-effective and reliable 3D vision solutions that meet the specific needs of their target market
• Facing challenges in integrating third-party hardware and software components into their existing product ecosystem
• The long and complex sales cycles in the robotics and automation industry, often involving multiple stakeholders and decision-makers

GOALS

• Develop robust and real-time people detection algorithms to ensure the safe and effective operation of UV-C disinfection robots
• Optimize existing software to improve the speed and accuracy of object recognition and tracking in dynamic environments
• Explore new applications of computer vision technology to enhance the functionality and performance of UV-C disinfection robots

Frustrations

• Difficulties in obtaining high-quality and labeled datasets for training and testing people detection algorithms
• Limitations in processing power and memory resources when running complex computer vision algorithms on embedded systems
• The rapidly evolving nature of the robotics and computer vision fields, requiring continuous learning and adaptation to stay current with the latest technologies