Search results for Cision

portier Vision 5 manages mechanical master key systems for organisations that run complex locking plans. Your cylinders, keys and locking plan sit in one place, so you always know what exists and what opens what. Every key movement is recorded. Issue, return, transfer, loss, each handover provable across shifts, sites and staff changes. Issuing rules apply at the desk. Who gets which key, with whose approval, for how long. When an auditor asks who held the master key to the chemical store last March, the answer already exists. Vision 5 runs on-premise, on your own database and infrastructure. Multi-user client-server with role-based access, built for hospitals, universities, manufacturing plants and public-sector estates that keep control of their own data. Core capabilities - Locking plan control: cylinders, keys and their relationships in one model - Movement tracking: complete chain of custody, provable years later - Issuing rules: time-limited issuing, group eligibility, approval for sensitive keys - Multi-site depots with separate key carriers and consistent records - Ordering and supplier control from within the system - Building plan integration: CAD plans (AutoCAD, DXF, DWG) with cylinders linked to the drawing - Digital signatures at handover: signature pad or mobile via KeyOnTheGo - Records and reporting, with backup and recovery

Apex Vision ERP is a cloud ERP platform built for businesses in the UAE and the wider Gulf. It brings accounting and financials, inventory across multiple warehouses, purchasing, sales and point of sale, CRM, HR and payroll, and business intelligence dashboards into a single system, so a transaction at the counter updates the stock and the ledger in the same moment. It includes the details that matter in this region: post-dated cheque handling built into receivables and payables, multi-currency with dated exchange rates, and VAT on every invoice. Industry modules cover automotive workshops - job cards, inspections, estimates and parts issued off stock at real cost — and real estate leasing. Every company gets an isolated workspace with role-based access and a full audit trail. Pricing starts at AED 299 per month including VAT, with a 14-day free trial and no card required. Categories to select: ERP · Accounting software · Inventory management · POS · CRM

Mobileye SuperVision™ is an advanced driver-assistance system (ADAS) that offers hands-free navigation capabilities, bridging the gap between traditional ADAS and fully autonomous vehicles. Designed to manage standard driving functions across various road types, it requires the driver's full attention, ensuring safety while enhancing driving comfort. Key Features and Functionality: - Autonomous Lane Changing: Automatically performs safe lane changes without driver intervention. - Highway and Traffic Jam Assist: Manages driving tasks in highway and congested traffic conditions. - Point-to-Point Automated Navigation with Adaptive Cruise Control: Facilitates seamless navigation and maintains appropriate speed relative to traffic. - Collision Avoidance: Detects and mitigates potential front and rear collisions. - Evasive Maneuver Assist: Executes necessary maneuvers to avoid obstacles. - Blind Spot Detection: Alerts the driver to vehicles in blind spots. - Parking Visualization and Applications: Provides visual assistance and automated features for parking. Mobileye SuperVision™ enhances driving safety and comfort by automating routine driving tasks, reducing driver workload, and providing advanced safety features. It serves as a transitional technology towards fully autonomous vehicles, offering automakers a customizable platform that can be updated over-the-air, ensuring continuous improvement and adaptation to evolving driving conditions.

Visionbox Digital Signage system was designed and developed to meet the needs of a flexible Digital Signage. Visionbox Digital Signage allows you to create fantastic interactive experience using modules and touch monitor.

proVision WMS (Warehouse Management System) is a versatile solution that connects information and resource management while co-ordinating order fulfillment, customer service, labor costs, and decision-making. The solution gives a blueprint so you can create own workflow that will result in greater efficiencies and improved productivity levels.

ARSA AI API Suites is a high-performance, developer-centric toolkit designed to accelerate digital transformation by integrating advanced artificial intelligence capabilities directly into existing applications. Built for speed and scalability, this suite enables enterprises and SaaS platforms to deploy critical features, including Face Recognition with Liveness Detection, Speech-to-Text, Text-to-Speech, and Vehicle Analytics, with millisecond-level response times and up to 99% accuracy. Accessible via RapidAPI for seamless integration, ARSA’s APIs eliminate the need for complex infrastructure, empowering businesses to instantly enhance security, automate operations, and unlock new revenue streams through globally ready, proprietary AI models.

Próximo Nível Vision is a Brazilian marketing attribution and revenue analytics platform (SaaS). It connects ad platforms (Meta, Google, TikTok, LinkedIn, Pinterest, Kwai), CRMs (RD Station, HubSpot, Pipedrive, Salesforce), e-commerce (Nuvemshop, Tray, Shopify, VTEX, WooCommerce), marketplaces, ERP/POS (Bling, Omie, Tiny, Totvs) and payment gateways (Mercado Pago, Pagar.me, Stripe, Asaas) into a single database and shows spend, opportunities, invoiced orders and confirmed revenue for every channel and campaign. Server-side capture works without third-party cookies, reconciles sales claimed by multiple platforms against confirmed payments, and keeps attribution beyond ad platform windows. The AI Copilot flags campaigns to pause, budget to reallocate and saturated creatives; Autopilot mode acts within your rules with a full audit log. 600+ no-code integrations. Plans: Starter R$397/month, Pro R$797/month, Enterprise custom. 14-day free trial, no credit card. Interface in Brazilian Portuguese.

Intel® DAAL DecisionForest Classification is a high-performance machine learning algorithm designed to handle classification tasks by constructing an ensemble of decision trees. This approach enhances predictive accuracy and robustness by aggregating the outputs of multiple trees, effectively mitigating overfitting and improving generalization to unseen data. Integrated within the Intel® oneAPI Data Analytics Library (oneDAL, this algorithm is optimized for Intel architectures, ensuring efficient execution across various hardware platforms. Key Features and Functionality: - Ensemble Learning: Utilizes multiple decision trees to form a robust classifier, enhancing predictive performance. - Gini Impurity Metric: Employs the Gini index to measure the impurity of nodes, aiding in the optimal splitting of data during tree construction. - Out-of-Bag Error Estimation: Provides an unbiased estimate of the model's prediction error by evaluating the performance on out-of-bag samples, which are not used during the training of individual trees. - Variable Importance Measures: Calculates metrics such as Mean Decrease Impurity (MDI to assess the significance of each feature in the classification process, facilitating feature selection and model interpretability. - Weighted and Unweighted Voting Methods: Offers flexibility in combining individual tree predictions through weighted or unweighted voting, allowing customization based on specific application requirements. Primary Value and Problem Solving: Intel® DAAL DecisionForest Classification addresses the need for scalable and efficient classification algorithms capable of handling large datasets with high-dimensional features. By leveraging ensemble learning techniques, it reduces the risk of overfitting and enhances the model's ability to generalize to new data. The algorithm's optimization for Intel hardware ensures that users can achieve high performance without extensive computational resources. Additionally, features like variable importance measures provide valuable insights into the data, aiding in feature selection and improving model interpretability. This makes it particularly suitable for applications requiring reliable and efficient classification, such as fraud detection, medical diagnosis, and customer segmentation.