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Nextbrain implemented a potential AI video analytics system for Sami Sabinsa group to enforce real-time facility monitoring, elevate workplace safety, detect PPE violations and improve operational compliance leveraging real-time intelligent surveillance and automated alerts.
Empowered by advanced AI and computer vision, the platform automates facility surveillance, effectively enhancing safety inside the premises. From real-time PPE violation detection to creating real-time alerts for critical events like fire and smoke, the AI intelligence system serves proactive safety across the facility.
Traditional forms of manual monitoring are a real challenge in biotech facilities and are most prone to errors. The company needed a revolutionary system to help detect safety violations and security risks in real time.
Traditional manual monitoring methods often have flaws, and facilities can suffer losses due to these errors.
Certain safety violations like missing PPE, are often overlooked in facilities. It was becoming challenging to track the violations under human supervision.
Lack of proper identification of unauthorised entries increases security risks and poses a threat to staff workers.
Critical incidents like fire and smoke often go unnoticed without instant AI-powered notifications.
Restricted monitoring of hazardous areas delays potential emergency responses, making it difficult to enforce safety regulations.
At Nextbrain, our core team implemented the Visionfacts AI video analytics system for simplifying facility surveillance and safety monitoring in real-time.
On detection of critical situations like fire and smoke, it offers automated alerts and notifies authorities of the impending danger. It seeks a prompt response from the authorities and automated emergencies.
It automatically identifies missing lab coats, face masks, gloves, hair net, and protective clothing. It identifies safety violations, compliance glitches, and operational risks prior to escalating into major incidents.
The equipment activity monitoring system can seamlessly monitor communications with laboratory instruments, refrigerators, bioreactors, storage cabinets, and others.
On detection of unauthorised individuals across sensitive research zones, the facility offers instant alerts whenever unauthorised individuals enter the premises.
Leveraging computer vision in real-time analytics, it detects unusual activities, safety violations, and emergencies, it allows immediate alerts for minimising operational risks.
The system enhances lab security with real-time surveillance, continuously monitoring live camera feeds. It protects valuable research and enforces safety protocols.
The system uses state-of-the-art vision models to automate laboratory surveillance, detect unauthorized personnel, and alert security staff to anomalies.
Instantly detect safety wear violations in real-time and notify authorities for a prompt response. It allows incident prevention & workforce safety.
Lowers operational disruptions with AI-powered lab untime detection by providing real-time alerts, allowing teams to quickly investigate issues, and optimising resource utilisation.
Any kind of unauthorized access is easily detected, and real-time alerts are sent to prevent intrusions.
Secure biotech laboratories with AI-assisted fire and smoke detection, allowing rapid response to lower safety risks across facilities.
Automatically detects unauthorized parking vehicles, creates real-time alerts and helps in maintaining parking across facilities.
Visionfacts video analytics software proves highly effective in real-time monitoring of biotech facilities. It promotes prompt incident response, improves facility security and builds a safer workplace.