Grid Dynamics Releases Visual Process Monitoring Starter Kit for Manufacturing and Logistics Applications
Grid Dynamics Holdings (Nasdaq: GDYN) has launched a Visual Process Monitoring starter kit designed to streamline the development of edge video analytics solutions. The framework leverages vision-language models (VLMs) to enable rapid development of monitoring workflows for tracking moving objects and evaluating behavior patterns.
The solution aims to reduce costs and complexity in visual analytics projects by replacing traditional computer vision approaches with VLM-centric design. Applications include safety monitoring, labor productivity analysis, order packaging verification, and other use cases in manufacturing and logistics settings.
The starter kit addresses challenges in developing computer vision solutions by providing a zero-shot framework, eliminating the need for extensive training data collection and manual labeling. This technology can be applied across various scenarios including shelf space optimization in retail, workforce management in restaurants, and quality control in manufacturing operations.
Grid Dynamics Holdings (Nasdaq: GDYN) ha lanciato un kit di avviamento per il monitoraggio visivo dei processi progettato per semplificare lo sviluppo di soluzioni di analisi video edge. Il framework sfrutta i modelli lingua-vision (VLM) per consentire lo sviluppo rapido di flussi di lavoro di monitoraggio per il tracciamento di oggetti in movimento e la valutazione dei modelli comportamentali.
La soluzione mira a ridurre costi e complessità nei progetti di analisi visiva sostituendo i tradizionali approcci di visione artificiale con un design centrato sui VLM. Le applicazioni includono monitoraggio della sicurezza, analisi della produttività lavorativa, verifica dell'imballaggio degli ordini e altri casi d'uso in contesti manifatturieri e logistici.
Il kit di avviamento affronta le sfide nello sviluppo di soluzioni di visione artificiale fornendo un framework zero-shot, eliminando la necessità di una raccolta di dati di addestramento estesa e di etichettatura manuale. Questa tecnologia può essere applicata in vari scenari, tra cui l'ottimizzazione dello spazio sugli scaffali nel commercio al dettaglio, la gestione della forza lavoro nei ristoranti e il controllo qualità nelle operazioni manifatturiere.
Grid Dynamics Holdings (Nasdaq: GDYN) ha lanzado un kit de inicio de Monitoreo de Procesos Visuales diseñado para optimizar el desarrollo de soluciones de análisis de video en el borde. El marco aprovecha los modelos de lenguaje-visual (VLM) para permitir el desarrollo rápido de flujos de trabajo de monitoreo para rastrear objetos en movimiento y evaluar patrones de comportamiento.
La solución tiene como objetivo reducir costos y complejidad en proyectos de análisis visual al reemplazar los enfoques tradicionales de visión por computadora con un diseño centrado en VLM. Las aplicaciones incluyen monitoreo de seguridad, análisis de productividad laboral, verificación de empaque de pedidos y otros casos de uso en entornos de manufactura y logística.
El kit de inicio aborda los desafíos en el desarrollo de soluciones de visión por computadora al proporcionar un marco de cero disparos, eliminando la necesidad de recolección extensa de datos de entrenamiento y etiquetado manual. Esta tecnología se puede aplicar en varios escenarios, incluida la optimización del espacio en estanterías en el comercio minorista, la gestión de la fuerza laboral en restaurantes y el control de calidad en operaciones de manufactura.
그리드 다이내믹스 홀딩스 (Nasdaq: GDYN)은 엣지 비디오 분석 솔루션 개발을 간소화하기 위해 설계된 비주얼 프로세스 모니터링 스타터 키트를 출시했습니다. 이 프레임워크는 비전-언어 모델(VLM)을 활용하여 이동하는 객체를 추적하고 행동 패턴을 평가하기 위한 모니터링 워크플로우의 빠른 개발을 가능하게 합니다.
이 솔루션은 전통적인 컴퓨터 비전 접근 방식을 VLM 중심 디자인으로 교체하여 시각적 분석 프로젝트의 비용과 복잡성을 줄이는 것을 목표로 합니다. 적용 사례로는 안전 모니터링, 노동 생산성 분석, 주문 포장 검증 및 제조와 물류 환경의 기타 사용 사례가 포함됩니다.
스타터 키트는 광범위한 훈련 데이터 수집 및 수동 라벨 제거를 필요로 하지 않는 제로샷 프레임워크를 제공하여 컴퓨터 비전 솔루션 개발의 어려움을 해결합니다. 이 기술은 소매업의 선반 공간 최적화, 레스토랑의 인력 관리, 제조 작업의 품질 관리 등 다양한 시나리오에 적용될 수 있습니다.
Grid Dynamics Holdings (Nasdaq: GDYN) a lancé un kit de démarrage pour la surveillance visuelle des processus, conçu pour simplifier le développement de solutions d'analyse vidéo en périphérie. Le cadre utilise des modèles langage-visuel (VLM) pour permettre le développement rapide de flux de travail de surveillance pour le suivi des objets en mouvement et l'évaluation des comportements.
La solution vise à réduire les coûts et la complexité des projets d'analyse visuelle en remplaçant les approches traditionnelles de vision par ordinateur par un design centré sur les VLM. Les applications comprennent la surveillance de la sécurité, l'analyse de la productivité au travail, la vérification de l'emballage des commandes et d'autres cas d'utilisation dans les environnements de fabrication et de logistique.
Le kit de démarrage relève les défis du développement de solutions de vision par ordinateur en fournissant un cadre zéro-shot, éliminant ainsi le besoin de collecte étendue de données d'entraînement et d'étiquetage manuel. Cette technologie peut être appliquée dans divers scénarios, notamment l'optimisation de l'espace de rayonnage dans le commerce de détail, la gestion de la main-d'œuvre dans les restaurants et le contrôle qualité dans les opérations de fabrication.
Grid Dynamics Holdings (Nasdaq: GDYN) hat ein Starter-Kit für die visuelle Prozessüberwachung eingeführt, das entwickelt wurde, um die Entwicklung von Edge-Videoanalyselösungen zu optimieren. Das Framework nutzt Vision-Sprachmodelle (VLM), um die schnelle Entwicklung von Überwachungs-Workflows zum Verfolgen von bewegten Objekten und zur Bewertung von Verhaltensmustern zu ermöglichen.
Die Lösung zielt darauf ab, Kosten und Komplexität in visuellen Analyseprojekten zu reduzieren, indem traditionelle Ansätze der Computervision durch ein VLM-zentriertes Design ersetzt werden. Anwendungen umfassen Sicherheitsüberwachung, Analyse der Arbeitsproduktivität, Überprüfung der Auftragspackung und andere Anwendungsfälle in Fertigungs- und Logistikumgebungen.
Das Starter-Kit adressiert die Herausforderungen bei der Entwicklung von Computer-Vision-Lösungen, indem es ein Zero-Shot-Framework bereitstellt, das die Notwendigkeit von umfangreicher Datensammlung und manueller Kennzeichnung eliminiert. Diese Technologie kann in verschiedenen Szenarien angewendet werden, einschließlich der Optimierung des Regalplatzes im Einzelhandel, dem Management der Arbeitskräfte in Restaurants und der Qualitätskontrolle in der Fertigung.
- Introduction of new technology solution that reduces implementation costs and complexity
- Zero-shot framework eliminates need for expensive training data collection and labeling
- Expansion of company's portfolio in smart manufacturing and supply chain solutions
- None.
Insights
Grid Dynamics' new Visual Process Monitoring starter kit marks a strategic expansion in the rapidly growing edge AI market, estimated to reach
1. Cost Efficiency: By leveraging VLMs instead of traditional computer vision approaches, the solution eliminates expensive data collection and labeling processes that typically cost
2. Technical Advantage: The zero-shot learning capability represents a significant competitive edge, allowing rapid adaptation to new use cases without model retraining. This technical approach aligns with the industry shift toward more flexible, scalable AI solutions, particularly important as manufacturing and logistics facilities increasingly automate quality control and safety monitoring.
3. Market Timing: The release coincides with two important market trends: the increasing affordability of edge GPU devices and growing demand for automated visual inspection solutions in post-pandemic manufacturing environments focused on efficiency and worker safety.
The starter kit strengthens Grid Dynamics' position in the digital transformation services market, particularly in manufacturing and logistics verticals where visual analytics adoption is accelerating. This could drive higher-margin consulting engagements and recurring revenue from implementation services, though the immediate revenue impact may be modest relative to the company's overall size.
Key Takeaways:
- The Visual Process Monitoring starter kit enables companies to rapidly develop edge video analytics solutions for in-facility safety monitoring, labor productivity analysis and optimization, order packaging verification, and other use cases leveraging vision-language models (VLMs).
- Incorporating Grid Dynamics' extensive experience in delivering successful visual analytics projects, this starter kit addresses the growing demand for edge visual analytics in manufacturing and logistics applications, enabling the solution to be deployed efficiently and at scale.
Visual process analytics on the edge is a powerful and versatile tool that can address a broad range of problems, including shelf space and store layout optimization in retail, workforce management in restaurants, safety monitoring in warehouses, and quality control in manufacturing operations. Traditionally, developing computer vision solutions has been a complex and expensive process, requiring the collection of large amounts of training data, manual labeling, and the design of custom models—turning every new use case or monitoring rule into an expensive engineering project. Grid Dynamics’ new Visual Process Monitoring starter kit helps companies overcome these challenges by providing a VLM-based framework that allows them to create various monitoring workflows in a zero-shot fashion.
"We see edge visual analytics becoming increasingly widespread and versatile, and we work with clients on applying it to a broad variety of manufacturing, packaging, and warehousing use cases," said Ilya Katsov, VP of Technology at Grid Dynamics. "This trend is significantly accelerated by VLMs that reduce the implementation complexity while increasing affordability of edge GPU devices. This new starter kit enables us to prototype and deliver visual analytics solutions even faster, and we expect it to be in demand among clients seeking improvements in efficiency, quality, and safety."
The Visual Process Monitoring starter kit extends Grid Dynamics’ portfolio of accelerators for smart manufacturing and supply chain, and the company aims to accelerate the delivery of transformative AI projects in these domains. Visit this page to learn more about the Visual Process Monitoring starter kit from Grid Dynamics.
About Grid Dynamics
Grid Dynamics (Nasdaq: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and digital engagement services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, application modernization, cloud platform and product engineering, and digital engagement services. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the
Forward-Looking Statements
This communication contains “forward-looking statements” within the meaning of Section 27A of the Securities Act of 1933 and Section 21E of the Securities Exchange Act of 1934 that are not historical facts, and involve risks and uncertainties that could cause actual results of Grid Dynamics to differ materially from those expected and projected. These forward-looking statements can be identified by the use of forward-looking terminology, including the words “believes,” “estimates,” “anticipates,” “expects,” “intends,” “plans,” “may,” “will,” “potential,” “projects,” “predicts,” “continue,” or “should,” or, in each case, their negative or other variations or comparable terminology. These forward-looking statements include, without limitation, quotations and statements regarding the expected benefits of our product capabilities and our company’s future growth including with customers and GigaCube strategy.
These forward-looking statements involve significant risks and uncertainties that could cause the actual results to differ materially from the expected results. Most of these factors are outside Grid Dynamics’ control and are difficult to predict. Factors that may cause such differences include, but are not limited to our ability to achieve its expected benefits, as well as any factors limiting our product capabilities, the benefits of our products, and our company’s growth strategy.
Grid Dynamics cautions that the foregoing list of factors is not exclusive. Grid Dynamics cautions readers not to place undue reliance upon any forward-looking statements, which speak only as of the date made. Grid Dynamics does not undertake or accept any obligation or undertaking to release publicly any updates or revisions to any forward-looking statements to reflect any change in its expectations or any change in events, conditions or circumstances on which any such statement is based. Further information about factors that could materially affect Grid Dynamics, including its results of operations and financial condition, is set forth under the “Risk Factors” section of the Company’s quarterly report on Form 10-Q filed October 31, 2024, and in other periodic filings Grid Dynamics makes with the SEC.
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Media Contact:
Cary Savas
+1 (650) 523 5000
csavas@griddynamics.com
Source: Grid Dynamics Holdings, Inc.
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