
HITOVIS Aquaculture IoT
IoT & Computer Vision
A precision-driven approach focused on geometry and harmony.
Autonomous cyber-physical monitoring platform bridging edge neural nets and water-quality automation.
(Research)
Mapping functional requirements and analyzing system accuracy, Fuel creates a detailed foundation that informs every design decision.
(Experiment)
Redefining minimalism through material authenticity and design order. Fuel moves beyond simple form, creating refined designs that shape experiences.
(Results)
Count Accuracy
98.4%
Aerator Latency
<500ms









