Learn how companies across industries leverage SparkAIto do more in production
Mobile robots are improving everything from crop analysis to harvesting speed. Companies use SparkAI to support tasks like obstacle navigation in rough terrain, tree counting, and plant classification.
Aerial and geospatial data from drones and satellites are enabling new analytics products for risk assessment and structural inspection. Companies use SparkAI to make sense of difficult-to-classify objects and features.
Computer vision is redefining quality control inspection, both on the production line and in the field. Companies use SparkAI to resolve false-positive detections and improve throughput.
Products added to basket can be difficult to scan or may not match the physical profile on record. Companies use SparkAI to match outliers against a ground truth library and resolve conflicts.
From picking to sorting, eCommerce fulfillment companies use SparkAI to classify products, locate difficult-to-find barcodes, and resolve other challenges to maintain high throughput.
Drones are capable of navigating the open skies with ease, but the final dropoff can be complicated by a complex landing environment or unmapped terrain. Companies use SparkAI to pick the perfect landing site and monitor through mission success.
Retail inventory management is undergoing a revolutionary change with free-roving shelf scanners. Companies use SparkAI to resolve product scan conflicts, difficult to read labels, and navigation issues.
So Much More
From agriculture robotics to energy asset monitoring and insurance claims, companies use SparkAI to solve their critical AI blockers and scale faster than ever.