# Computer Vision — High-Throughput Spatial & Temporal Intelligence

Canonical URL: https://alectorlab.com/capabilities/computer-vision
Raw Markdown: https://alectorlab.com/capabilities/computer-vision/raw
Provider: Alector Lab – Enabling Technologies Ltd (https://alectorlab.com)
Contact: alectorlab@gmail.com

## Executive Summary
Multi-camera tracking, 3D coordinate projection, and real-time edge tensor inference.

## Detailed Overview
We design, train, optimize, and deploy end-to-end computer vision pipelines for sports performance, industrial operations, and video intelligence. From camera calibration and 3D coordinate projection to real-time multi-object tracking and device-specific inference optimization, Alector Lab builds vision systems that operate reliably in challenging visual environments.

## Architecture Overview
We build modular vision pipelines that decouple video ingestion (RTSP/WebRTC), accelerated frame decoding, neural inference (YOLOv10, RT-DETR, custom transformers), spatial tracking (ByteTrack, BoT-SORT), and downstream analytics into high-performance C++ and Python microservices.

## Core Engineering Areas
- Real-time object detection & classification
- Multi-object tracking (MOT) & trajectory modeling
- Dense video analytics & event recognition
- Action classification & temporal sequence modeling
- Human pose estimation & biomechanical tracking
- Multi-camera calibration & 3D homography
- Automated visual inspection & defect localization
- Edge vision pipelines (NVIDIA Jetson / TensorRT)

## System Specifications
- **Inference Throughput:** Real-time at 1080p / 4K multi-stream, hardware-dependent
- **Edge Latency:** Optimized per target device (Jetson, industrial IPCs)
- **Calibration Accuracy:** Scoped to camera setup and use case
- **Deployment Runtime:** TensorRT, ONNX Runtime, CUDA, C++

## Production Features & Controls
- **Multi-Camera Fusion:** Synchronize multiple camera angles with automatic homography calibration to generate unified 3D spatial coordinate feeds.
- **Edge-Optimized Inference:** Quantize models (INT8/FP16) for real-time execution on NVIDIA Jetson, Intel OpenVINO, or industrial IPCs without cloud round-trips.
- **Event & Action Detection:** Temporal deep learning models that recognize domain-specific events, safety violations, athletic maneuvers, and workflow anomalies.
- **Synthetic Data & Active Learning:** Systematic data engines that identify edge cases in production, queue them for labeling, and trigger automated re-training cycles.

## Technical Scoping & RFQ
Scope a custom Computer Vision architecture: https://alectorlab.com/contact?service=Computer%20Vision