What is AI video analytics software for manufacturing?

Video analytics technology powered by AI can be a beneficial tool for manufacturing industry verticals. It ensures product quality, detects potential damage, identifies infrastructure wear and tear with equipment and many more. It automates surveillance and ensures safety within a manufacturing facility.

What are the key benefits of using AI video analytics in a manufacturing setting?

Video surveillance can benefit manufacturing units in different ways. Right from bettering security & safety, improving compliance, operational efficiency and optimizing costs, AI video analytics have major applications.

Can this software be integrated with our existing surveillance camera system?

Yes, the manufacturing analytics software can be seamlessly integrated with existing surveillance camera systems.

What types of insights and data can I expect to gain from using AI video analytics in manufacturing?

For multiple reasons, manufacturing units and facilities can utilize automated visual inspection tools for searching defects on production lines. It can detect faults across machine vision cameras in real-time and deliver accurate results leveraging video data.

Onsite safety and security monitoring system with AI for construction

Boost efficiency, improve security, amplify productivity, & drive ROI through real-time computer vision AI, using existing cameras.

Digital signage software driving steadfast results

Transforming CCTV video DATA to Actionable Insights

AI video analytics software for site monitoring allows construction companies to improve safety and streamline workflows. It helps in maximizing operational efficiency & security compliance within a construction site infrastructure.

From real-time detection of safety hazards to issuing real-time alerts to workers, on-site safety & security monitoring systems are empowered with the capability to automatically detect threats to security within the construction facility premises.

KEY FEATURES

PPE detection
Staff attendance monitoring
Fire & Smoke detection
Geo fence / Restricted area
Anomalous behavior detection
Unauthorized human detection
Crowd detection
Open edge detection
Vehicle detection with number plate
Mobile phone usage
Night intrusion
Man Machine interface

PPE Detection

AI-enabled PPE detection system utilizes deep learning algorithms to automatically detect, spot & notify regarding safety gear violations helping to keep your workforce safe with effective safety protocols.

Staff attendance monitoring

AI analytics software has streamlined attendance management by real-time monitoring of staff. It utilizes advanced AI algorithms to track employee attendance through real-time video analysis, accurately detecting & recording their entries and exits in a construction facility.

Fire & Smoke detection

Computer vision AI can analyze real-time video data from security cameras effectively. It swiftly detects fire and smoke in real-time video, triggering immediate alerts for rapid response.

Geo fence / Restricted area

The system is designed to detect human intrusion within areas that are restricted. For instance, it automatically identifies whenever any people are entering the restricted premises.

Anomalous behavior detection

It detects & flags unusual patterns, human behaviour & events within a network, helping in the identification of potential threats & operational glitches. It efficiently prevents any rage from occurring inside the premises.

Unauthorized human detection

Computer vision algorithms can analyze video feeds and identify unauthorized individuals’ access to a highly classified zone. It sends real-time alerts to the appropriate authorities.

Crowd detection

The AI technology can detect multiple workers gathering in a place. It could be a sign of a possible outburst. Real-time monitoring of crowds can prevent complications in a construction facility.

Vehicle detection with ANPR

The automatic number plate recognition feature recognizes the vehicle’s number plates using OCR & displays alerts in real-time vehicle checking out or checking in to a construction working unit premises.

Open edge detection

Workplace safety is primordial to a construction facility. From detecting openings in high places to places where no handrails are installed, it can prevent catastrophic accidents from occurring & endanger workers’ safety.

Mobile phone usage

It improves overall productivity by detecting excessive mobile usage. Effectively monitors mobile phone usage across critical work zones. It increases work efficiency too.

Man Machine interface

Providing on-site alerts in construction facilities helps in preventing accidents by alerting operators in real-time and enabling critical responses to data.

Night intrusion detection

Surveillance cameras integrated with AI video analytics software help in detecting unauthorized access at night or during the daytime. It potentially prevents situations of theft and vandalism.