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Based on the similar products and their relatively low engagement, your idea of a computer vision board for detecting people and controlling ventilation falls into a challenging category. The 'Swamp' category indicates that many similar solutions exist, but haven't really captured the market's attention. With only four similar products found and an average of two comments per product, the existing solutions don't seem to be generating a lot of excitement, meaning the net use and net buy metrics are basically neutral. This suggests that unless you offer something significantly different, it will be difficult to stand out and gain traction. The market isn't necessarily clamoring for another solution in this space, so careful differentiation is crucial.

Recommendations

1. First, conduct thorough research to understand why existing solutions haven't achieved widespread success. Don't just look at the features they offer, but also at their pricing, marketing, and target audience. Identify gaps in the market that your solution can uniquely address. The 'Face Recognition Attendance system' highlighted integration and data security as key areas of interest. Consider what anxieties exist surrounding current solutions that you can solve.
2. Instead of broadly targeting all indoor spaces, focus on a specific niche within building management that you believe is underserved. This might involve focusing on a particular industry like hospitals, schools, or small businesses, or solving a unique ventilation challenge that isn't currently addressed effectively. For example, if the real-time system for face recognition can be improved, then maybe focus on this industry.
3. Consider creating tools or modules that can be easily integrated into existing building management systems rather than trying to replace them entirely. Partnering with established HVAC or building automation providers could provide a faster path to market and leverage their existing customer base. As an example, the 'HVAC Toolkit' app received praise for being easy to use; you can research this more to get inspiration.
4. Before investing heavily in development, explore adjacent problems that might be more pressing or easier to solve with computer vision. For example, instead of directly controlling ventilation, you could focus on optimizing energy usage based on occupancy patterns, offering a tangible cost-saving benefit. Consider this before building more features.
5. Given the 'Swamp' category designation, it's wise to carefully evaluate the potential return on investment before committing significant resources. If the market research and competitive analysis reveal substantial hurdles, consider pivoting to a more promising opportunity where your computer vision expertise can be better utilized. Don't get emotionally attached to this one idea, but keep researching and learning.

Questions

1. What specific pain points related to ventilation and occupancy management are you addressing that current solutions fail to solve adequately, and how can you validate that these are significant enough for customers to switch to your product?
2. Considering the low engagement observed in similar products, what innovative strategies will you employ to generate initial interest and build a loyal user base for your computer vision board?
3. How can you design your computer vision board to ensure data privacy and security, addressing potential concerns about surveillance and data breaches, particularly in sensitive environments like healthcare facilities or schools?