Our technology systems support drone inspections, mapping, monitoring, and operational analysis by processing aerial data into usable outputs across industrial and field environments.
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HDSL uses AI models to analyse aerial imagery, thermal data, and operational inputs to support inspections, monitoring, crop analysis, surveillance, and industrial decision-making.
AI Model
Function
Output / Insight
CropHealthModel
Analyses NDVI and multispectral indices to detect plant stress, disease, and nutrient deficiency
Health maps with zonal treatment recommendations
PestDetectionModel
Identifies insects and infestation patterns through high-resolution imaging and pattern recognition
Targeted spray maps for IPM programs
SoilAnalysisModel
Maps soil moisture, nutrient variability, and composition using aerial + ground-truth fusion
Variable-rate application prescriptions
YieldPredictionModel
Forecasts crop yield using biomass data, weather patterns, and historical performance
Field-level yield maps with confidence intervals
SprayPickerModel
Recommends optimal pesticide/fertiliser products and rates based on detected conditions
Actionable spray programs per field zone
3DReconstructionModel
Builds textured 3D meshes and point clouds from photogrammetric image sets
Digital Twins for planning, inspection, and visualisation
ThermalDetectionModel
Identifies heat anomalies in solar panels, structures, pipelines, and perimeters
Hotspot alerts with severity classification
IntrusionDetectionModel
Flags unauthorised entries within defined perimeters using thermal + optical fusion
Real-time geotagged alerts to security teams
AnomalyDetectionModel
Identifies unusual patterns in surveillance feeds, energy systems, and environmental data
Prioritised anomaly reports with evidence clips
PathPlanningModel
Optimises drone flight paths for coverage efficiency, battery life, and safety compliance
Mission-optimised flight plans and waypoint files
ObstacleAvoidanceModel
Enables real-time dynamic collision prevention in complex environments
In-flight route adjustments, zero incident rate
GeoFenceModel
Enforces virtual geographic boundaries for legal and safety compliance
Automated flight restriction enforcement + logs
ObjectDetectionModel
Recognises specific elements: vehicles, people, structures, equipment, signage
Classified, annotated image outputs for downstream use
