Purpose-built for Vietnam's fish farms (Pangasius, Tilapia, Red Tilapia), we fuse pond cameras with IoT water-quality probes: track feeding and fish activity, monitor dissolved oxygen, pH, temperature and salinity, and push early-warning alerts to Zalo before a pond crashes - fully aligned with the Vectiq Field platform.
Real pond camera footage with a school-activity indicator, while IoT probes track water quality.
Water quality is optimal. Keep the current feeding schedule.
The boxes on the video are an illustrative school-activity indicator: common vision models (YOLO/COCO) have no “fish” class, so positions and counts are estimates.
Sensor readings are simulated in your browser. Real deployments pair pond cameras with DO/pH/temperature/salinity probes and push alerts to Zalo.
Vision models estimate feeding response and animal activity to optimize feed and cut waste.
Continuous DO tracking with automatic aerator triggers when oxygen drops to risky levels.
Track pH, salinity and ammonia trends to keep the pond within safe ranges for the species.
Combine water temperature with weather forecasts to anticipate stress events and disease risk.
Threshold and anomaly alerts pushed to Zalo, SMS and the farm dashboard the moment a pond drifts.
One screen for every pond: live cameras, sensor trends, feed logs and harvest forecasting.
RTSP
DO / pH / Temp
MQTT / LoRa
Vision / Anomaly
Zalo / SMS
Vectiq Field
For high-density fish ponds where oxygen crashes cost millions, continuous camera activity tracking and aerator automation protect each fish crop.
Remote solar-powered stations watch cage farms on rivers and reservoirs, alerting on water-quality drops and intrusions.
Tight temperature, pH and salinity control for larvae tanks, with full traceability of every environmental reading.
Camera and IoT-sensor monitoring for fish ponds: water quality, feeding activity, and early-warning alerts
Real-time AI camera monitoring system for livestock and crop surveillance
Smart farm management system integrating AI for crop monitoring, disease detection, and agricultural planning