Seewise
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About
Seewise is an Artificial General Intelligence (AGI) platform designed to optimize efficiency and safety within manufacturing environments. By monitoring the "4M" framework—Man, Machine, Material, and Method—the platform converts existing CCTV feeds into intelligent sensors. It targets the core challenges of Industry 5.0, allowing manufacturers to transition from manual, reactive supervision to proactive, automated oversight that identifies risks and deviations before they result in significant loss or injury. The platform offers a comprehensive suite of modular solutions for different industrial zones, including shop floors, warehouses, and general premises. On the shop floor, it monitors machine OEE, conveyor lines, and operator performance, while the warehouse modules handle forklift tracking and truck loading/unloading. The technology works by training custom models on 48 hours of video feed, eventually reaching up to 98% accuracy. It integrates seamlessly with industrial hardware and software, including ERP, SAP, PLCs, and robotic arms, to trigger real-time responses like alarms or process halts. Seewise is specifically built for roles such as plant managers, safety officers, and digital transformation leads in sectors like automotive, FMCG, electronics, and oil and gas. It addresses the constant pressure of modern manufacturing, where small inefficiencies or missed steps lead to expensive downtime. The tool is particularly useful for environments where safety compliance is critical, having already prevented thousands of safety incidents across global deployments. What sets Seewise apart is its non-disruptive implementation and deep domain expertise. It doesn't require specialized cameras, instead leveraging existing infrastructure to provide high-impact insights. Unlike general-purpose computer vision tools, Seewise is pre-programmed with specific industrial logic for tasks like galvanization monitoring or parts counting. This specialized focus, combined with 24/7 support and a rapid 14-day pilot program, makes it a practical solution for factories looking to achieve measurable cost savings and improved productivity without a total overhaul of their systems.
Pros & Cons
Reduces downtime through real-time shop floor alerts and bottleneck optimization.
Utilizes existing CCTV infrastructure, avoiding the need for expensive new hardware.
Achieves high accuracy levels of up to 98% after User Acceptance Testing.
Offers diverse integration options with ERP, SAP, PLCs, and robotic arms.
Provides domain-specific pre-programmed expertise for various manufacturing sectors.
Requires a 48-hour continuous video feed for initial model training sessions.
Initial on-prem installation accuracy is limited to 60% before final optimization.
Pricing information is not transparently listed and requires a custom demo request.
Deployment is specialized for industrial settings and not suitable for general use.
Use Cases
Plant Managers can monitor conveyor lines and machine OEE in real-time to identify and resolve production bottlenecks.
Safety Officers can automate restricted area monitoring and SOP compliance checks to prevent workplace injuries and violations.
Warehouse Supervisors can track truck loading and unloading operations while managing slots and gangways for better visibility.
Maintenance Teams can implement parts counting and defect identification to ensure high-quality output in assembly processes.
Digital Transformation Leads can connect shop floor vision data to ERP and SAP systems for automated operational reporting.
Platform
Features
• forklift and eotc tracking
• real-time safety alerts
• automated weighbridge
• erp & sap integration
• sop compliance checking
• machine oee monitoring
• 4m monitoring framework
• vision ai agents
FAQs
How long does the initial setup and pilot take?
A pilot can be launched in approximately 14 days. This includes a 48-hour period for remote model training based on your specific video feed before on-premise installation.
Can I use my existing security cameras with this system?
Yes, Seewise is designed to work with existing CCTV infrastructure. It transforms standard camera feeds into advanced AI-powered sensors without requiring hardware replacement.
What systems can the AI integrate with for automated responses?
The platform integrates with various industrial systems including ERP, SAP, PLCs, and robotic arms. It can also trigger physical hardware like alarms, boom barriers, and Andon TVs.
What is the accuracy rate of the vision AI?
While the initial on-prem installation typically reaches 60% accuracy, the system undergoes feedforward and User Acceptance Testing. This refinement process brings the final accuracy up to 98%.
Which manufacturing sectors can benefit from this technology?
The system features domain expertise for sectors including Automotive, FMCG, Ecommerce, Textiles, and Oil & Gas. It handles specific environments like foundries and assembly lines.
Pricing Plans
Custom Pilot
Unknown Price• Free Analysis
• Existing Camera Support
• 24/7 Support
• 14-Day Pilot Setup
• Remote Model Training
• Hardware Integration (PLC/Robotic)
• Real-time Alerts
• ERP/SAP Connectivity
• Process Optimization Analysis
Job Opportunities
Computer Vision Engineer
Enhance factory safety and operational efficiency with vision AI agents that monitor machines and personnel in real-time to prevent incidents and downtime.
Benefits:
Exponential growth in salary
Knowledge growth
Role and designation growth
Experience Requirements:
Solid problem solving skills with Python or C++
Experience working with open source object detection (Mobilenet SSD, EfficientDet) and classification models (Mobilenet, VGG)
Solid image processing skills (camera calibration, homography estimation, feature matching, optical flow)
Proficient in at least one of tensorflow and pytorch
Experience with optimizing models (fp16, int8) and deployment on edge devices like coral and jetson nano
Other Requirements:
Experience with cloud platforms like AWS
Comfortable with concepts of threading and multiprocessing
Experience with using Django
Previous experience working with Postgresql or other RDBMS
Good interpersonal and time management skills
Responsibilities:
Select appropriate classified image libraries and algorithms to develop anomaly detection applications
Develop solution architecture and generate drafts for design reviews
Assist in the installation and running of product demonstrations
Contribute to expanding and sustaining knowledge base through training and mentoring
Establish technical performance benchmark
Show more details
Business Development Executive
Enhance factory safety and operational efficiency with vision AI agents that monitor machines and personnel in real-time to prevent incidents and downtime.
Benefits:
Exponential growth in salary
Knowledge growth
Role and designation growth
Experience Requirements:
Solid experience in handling and engaging clients from the Manufacturing industry
Strong experience in Industry Automation and Machine Vision products
Good knowledge of AI and software products
Digital & traditional marketing skills to grab leads
Excellent communication and negotiation skills
Other Requirements:
Strong Interpersonal and interpretation skills
Passionate & optimistic person to achieve targets
Ability to deliver an engaging presentation
Responsibilities:
Learn technical details of Computer Vision AI software and its applications
Understand customer requirements and apply product knowledge
Create and deliver effective product demonstrations to prospective customers
Manage all technical and functional aspects of RFP/RFI
Develop and manage lead pipeline by assessing and prioritizing prospective clients
Show more details
Ratings & Reviews
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