Vision Recognition
Object detection, visual tracking, image classification, scene understanding, and behavior recognition.
Technology
Perception, decision, and movement in one embedded system.
Our technology stack connects computer vision, machine motion algorithms, sensor fusion, firmware, and hardware engineering.
Development Kit
Designed around practical product integration.
We evaluate algorithms together with camera modules, motor control, sensors, edge processors, power design, and mechanical constraints, so the product behavior can be tested early.
Motion Algorithms
Path planning, target following, gimbal control, motor coordination, and response tuning.
Embedded AI
On-device inference, firmware logic, camera pipeline, processor selection, and power optimization.
Product Engineering
Prototype build, calibration, reliability checks, manufacturability, and production coordination.
Workflow
How an AI hardware idea becomes a working product.
Scenario Definition
Recognition targets, movement behavior, environment, cost, size, and product form.
Algorithm Validation
Model testing, control logic, latency measurement, tracking quality, and failure cases.
Prototype Integration
Camera, sensors, motors, control board, embedded firmware, and enclosure concept.
Product Optimization
Reliability, calibration, user experience, power, thermal, production and assembly details.