Difinative Technologies: Revolutionizing Computer Vision Landscape
The burgeoning com-puter vision market in India is witnessing a surge, particularly in sectors like healthcare, retail, and manufac-turing. The focus on efficiency and innova-tion propels this growth. As the digital transformation's next wave unfolds, the emphasis shifts towar-ds sensing and analy-zing the environment, transcending human capa-bilities.In this landscape, Squirrel Vision stands out, founded by industry veterans who have served as CTOs, been represented in industry bodies, and held distinguished fellowships in their roles. Saji Thoppil, who brings three decades of industry experience, fuels its technology vision. His multidomain expertise in leading digital transformation and insights from serving on the board of the Linux Foundation Edge are invaluable. Unlike generic solutions, DIFINATIVE's Squirrel Vision product offers a low-code plat form, enabling seamless deployment and customization. This addresses the challenges hindering broader adoption of computer vision, providing a cost-effective and scalable solution, and setting Squirrel Vision apart in this dynamic market.
The Computer Vision based SaaS platform, Squirrel Vision, has significantly reduced product waste for clients, notably addressing a prominent challenge faced by a German specialty food company dealing with up to 20 percent waste in its food supply chain. DIFINATIVE TECHNOLOGIES engineered specialized, discreet cam eras for supermarket shelves, capturing real-time inventory data and creating digital twins. Using AI models, the platform predicts inventory patterns, enabling proactive management. Integration with logistics partners facilitates stock movement based on real-time insights.
In supply chain management, the platform excels in optimizing the journey from farm to fork, offering heightened visibility and minimizing inefficiencies across various stages of production and distri-bution. The Universal Vision Capture
smartphone application extends the platform's capability to crowdsource image capture and analysis, which can be invaluable for quality control and tracing visibility in a broad spectrum of use cases. This comprehensive approach brings control across many blind spots in operations, offering a versatile approach applicable across industries, exemplifying Squirrel Vision's holistic 'Sense, Analyze, and Control' framework.
Leveraging data is integral to the platform's functionality, particularly in the vast realm of AI and computer vision. Dealing with massive data volumes from video feeds the platform's AI models continuously evolve to enhance accuracy, crucial for tasks like predicting inventory. The concept of a ‘data flywheel’ is employed, ensuring a continuous learning process by feeding information back to train and improve models. Managing different forms of data (raw, code, and AI models) poses a unique challenge, requiring seam less transitions and updates. Through a series of logical steps,the platform transforms raw data into actionable in sights, utilizing Generative AI to cater to diverse organizational personas and deliver information in a consumable format.
In handling the latest technologies, the platform excels at assisting consumers or clients with legacy software seeking data migration to its cutting-edge solutions. While emphasizing its out of-the-box usability deployable within weeks or even hours the platform acknowledges instances where legacy data integration poses challenges. With an array of 50 to 60 integration libraries, the platform ensures seamless transitions, particularly when dealing with outdated systems. A notable example involves a major Indian corporation, where handwritten text is transformed into a digitized, AI-processed format, demonstrating the platform's efficacy in efficiently integrating and transforming data, even from sources spanning over 50 years.
Squirrel Vision’s commitment to staying ahead in the dynamic tech landscape is paramount. Recognizing the pivotal shifts in artificial intelligence, especially in areas like computer vision, the platform invests significantly in technologies such as vision transformers and going multimodal. The past six months to a year have marked a transfor-mative period in AI, making it imperative to remain cutting-edge. Establishing a hub in France, a prominent center for open-source innovation, reflects the platform's strategic foresight. Actively engaging with partners, hyper-scalars, academia, and industry bodies, the platform ensures a continuous influx of new-age talent and stays at the forefront of innovation, avoiding any legacy pitfalls. “Having invested considerable time in the Linux Foundation and serving as CTO for Wipro’s cloud business, my wealth of experience informs our commitment to delivering solutions that are not only valuable but also sustainable", concludes Saji Thoppil.
Leveraging data is integral to the platform's functionality, particularly in the vast realm of AI and computer vision. Dealing with massive data volumes from video feeds the platform's AI models continuously evolve to enhance accuracy, crucial for tasks like predicting inventory. The concept of a ‘data flywheel’ is employed, ensuring a continuous learning process by feeding information back to train and improve models. Managing different forms of data (raw, code, and AI models) poses a unique challenge, requiring seam less transitions and updates. Through a series of logical steps,the platform transforms raw data into actionable in sights, utilizing Generative AI to cater to diverse organizational personas and deliver information in a consumable format.
In handling the latest technologies, the platform excels at assisting consumers or clients with legacy software seeking data migration to its cutting-edge solutions. While emphasizing its out of-the-box usability deployable within weeks or even hours the platform acknowledges instances where legacy data integration poses challenges. With an array of 50 to 60 integration libraries, the platform ensures seamless transitions, particularly when dealing with outdated systems. A notable example involves a major Indian corporation, where handwritten text is transformed into a digitized, AI-processed format, demonstrating the platform's efficacy in efficiently integrating and transforming data, even from sources spanning over 50 years.
Squirrel Vision’s commitment to staying ahead in the dynamic tech landscape is paramount. Recognizing the pivotal shifts in artificial intelligence, especially in areas like computer vision, the platform invests significantly in technologies such as vision transformers and going multimodal. The past six months to a year have marked a transfor-mative period in AI, making it imperative to remain cutting-edge. Establishing a hub in France, a prominent center for open-source innovation, reflects the platform's strategic foresight. Actively engaging with partners, hyper-scalars, academia, and industry bodies, the platform ensures a continuous influx of new-age talent and stays at the forefront of innovation, avoiding any legacy pitfalls. “Having invested considerable time in the Linux Foundation and serving as CTO for Wipro’s cloud business, my wealth of experience informs our commitment to delivering solutions that are not only valuable but also sustainable", concludes Saji Thoppil.
