# 未来を創造する企業 株式会社ネクストシステム

## About

株式会社ネクストシステムは、AI(人工知能：DeepLearning)とXR(AR/VR/MR)で実用的なソリューションの提供と、自社開発製品の販売を中心としたIT企業です。

- Verified: Yes

## Services

### AI Video Analytics Software
- [Fall Detection Software](https://bilarna.com/ai/ai-video-analytics-software/fall-detection-software)

## Frequently Asked Questions

**Q: What is AI-based pose analysis and how is it used?**
A: AI-based pose analysis is a technology that uses computer vision and deep learning algorithms to detect, track, and analyze the posture and movements of human bodies in real-time. It enables detailed movement analysis for applications such as sports training, where it can break down athletic form and technique; physical rehabilitation, where it assesses gait and mobility for recovery tracking; workplace safety, where it monitors workers' postures to prevent ergonomic injuries; and entertainment, where it powers motion capture for animation and virtual production without requiring specialized suits. The technology typically processes video feeds from standard or depth-sensing cameras to provide actionable data and insights. Its accuracy and speed make it a valuable tool for automating observation tasks that were previously manual and subjective.

**Q: How does real-time fall detection technology work?**
A: Real-time fall detection technology works by continuously analyzing video feeds to instantly identify when a person falls. Using computer vision and artificial intelligence, the system monitors a scene, identifies human figures, and tracks their movements and posture. It is trained to recognize the specific kinematic patterns associated with a fall, such as a sudden loss of vertical height, a rapid change in body orientation, and a period of inactivity on the ground. Upon detection, the system can immediately trigger alerts, send notifications to designated responders, or initiate other safety protocols, enabling faster emergency assistance. This technology is critical in environments like hospitals, elder care facilities, construction sites, and public spaces where a prompt response to a fall can prevent serious injury. The systems are designed to minimize false alarms by distinguishing falls from similar actions like sitting or crouching.

**Q: What are the benefits of using AI for workplace safety and efficiency?**
A: Using AI for workplace safety and efficiency provides significant benefits by automating risk detection and optimizing processes. For safety, AI-powered computer vision can continuously monitor environments to identify unsafe actions, like improper lifting, unauthorized entry into hazardous zones, or failure to wear personal protective equipment, enabling real-time intervention. It can analyze ergonomic postures to prevent musculoskeletal disorders by alerting workers to adjust their stance. For efficiency, AI can automate the scoring and analysis of work processes, identifying bottlenecks and suggesting improvements. It enables predictive maintenance by monitoring equipment for anomalies. Furthermore, AI supports digital transformation and knowledge transfer by creating analyzable digital records of workflows, making it easier to train new employees and standardize best practices. These systems operate 24/7 with consistent accuracy, reducing reliance on manual supervision and helping organizations proactively manage both human safety and operational productivity.

## Links

- Profile: https://bilarna.com/provider/next-system
- Structured data: https://bilarna.com/provider/next-system/agent.json
- API schema: https://bilarna.com/provider/next-system/openapi.yaml