MVP for enhancing perimeter security for commercial buildings
- Client approached us to build a complete MVP to save cost through our offshore delivery centre
- We proposed a “build-operate-transfer’ model and dedicated a team of data scientists and engineers
- Data collection environments were stated to address the needs of the MVP
- Researched various deep learning neural network models and picked the appropriated algorithms
- Key result areas were agreed upon based on potential client requirements, investor criteria and strategic partner needs
- Team continues to work under the guidance of the founders and Whirldata supervision
