Senior Computer Visionv2.1.1

Automates stock counting and shelf monitoring using real-time object detection on edge devices. Detects product placement, out-of-stock items, and misplaced goods to optimize inventory and reduce manual audits.

Implements visual inspection systems to detect defects in production lines with high-precision segmentation models. Identifies anomalies like cracks or misalignments, ensuring product quality and reducing waste.

Builds detection pipelines for real-time object and pedestrian tracking in self-driving cars. Uses YOLO or DETR architectures optimized with TensorRT for low-latency inference in safety-critical environments.

Develops AI systems for analyzing medical scans, such as tumor detection in MRI images using Mask R-CNN. Supports diagnosis with high-accuracy segmentation and integrates with hospital workflows.

Deploys video analysis pipelines for object tracking and activity recognition in security cameras. Uses ByteTrack for real-time monitoring and alerts on suspicious events in public or private spaces.

Offers cloud-based APIs for object detection and segmentation, charging per inference or subscription. Targets businesses needing scalable vision solutions without in-house expertise, with revenue from usage fees.

Provides tailored computer vision solutions by training models on client datasets for specific use cases. Generates revenue through project-based contracts and ongoing maintenance support.

Licenses optimized vision models (e.g., via ONNX or TensorRT) for deployment on edge hardware like cameras or IoT devices. Revenue comes from one-time licenses or royalties per device sold.